Eu-Maths-In : New jobs

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#sort ascending User IP address Publish the job Type of job Title of the job (in english) Field of competence Type of contract Company/Institution name Industrial(s) actor(s) engaged URL of the company E-mail address to apply City Country Job description Salary range Currency PDF file for additional information Date of expiration for this offer
329 Anonyme (not verified) 76.29.54.199 No Industry Research Scientist, Applied Mathematics Both Permanent Intelligent Locations, LLC Heathcare IT http://www.intelligentlocations.io bogdan@intelligentlocations.io Paris France Intelligent Locations, located in Chicago, IL, USA offers the most cost-efficient, healthcare focused, real-time location services (RTLS) platform on the market. There is no need to piece a solution together. Our comprehensive platform provides everything our users require - from installation to end-user analytics. When our platform is implemented, we decrease the time it takes to locate equipment, move patients through the system and focus care teams. Saving significant time means dramatically decreasing the costs to deliver care. Intelligent Locations begins to pay for itself on day one!

The company is in the process of opening an R&D Center of Excellence in France where all the fundamental research will be conducted. This R&D Center will deliver unique solutions – algorithms, engines, concepts – which will be incorporated in company’s core products. The Research Engineer will be the focal point between the back-end Software development team, located in Bucharest, Romania and the front-end Software development and operations teams located in Chicago, USA. The goal of the R&D Center of Excellence is to leapfrog competition by developing new IP (Intellectual Property) in the Healthcare IT domain and oversee its successful implementation.
The role will report directly to the Head of Analytics in the USA who will provide mentorship and guidance.

This is a unique opportunity for candidates who want to move up quickly in a small structure and can see how their contribution increases the value of the company and their personal wealth on a daily basis. Unlike the large groups, he/she will have visibility into the full solution, not only a very small portion of it. Intelligent Locations operates in one of the hottest and most sought after industry: Healthcare IT.

Location: Paris
Salary: €55,000 - €60,000 + participation in the capital for the right candidate
Start Date: October 1st (target)

Position Summary
For this permanent position (“Contrat a Duree Indeterminee”), a PhD in Applied Mathematics is required. The candidate masters the theory of Probability and Statistics. Predictive analytics, Machine Learning techniques, Big data and modeling are part of the knowledge necessary for a successful candidate. A vital knowledge of software development with the following emphasis:
• Programming languages (one of the following): Python (NumPy, scikit-learn, Pandas, Statsmodels), Base SAS, SAS/STAT (KRIGE2D, MCMC, ANOVA), C++, MATLAB, Octave, R, SQL, TCL, Bash (Unix shell), PowerShell. JAVA will be a big plus.
• Operating Systems: Microsoft Windows, Unix OS family such as Linux and OS X.
• Software tools (one or more of the following): JMP, Minitab, Weibull++, ALTA, DOE++, RGA.
• Experience with Slack for communication (desired).



Additional Requirements
• Self starter – but have the ability to work in small teams.
• Ability to understand and conceptualize ideas, then implement them in code.
• Must be self-motivated, professional, confident, flexible, and results-driven.
• Any other duty that may reasonably be allocated by the CEO.
• Analytical and problem-solving skills, and ability and desire to learn complex issues.
• Thrive in a fast‐paced, multi-cultural work environment.
• Fluent in English.
55000-60000 Euro Research Engineer, Applied Mathematics V2_1.docx (35 KB) 09/15/2018
328 Anonyme (not verified) 92.154.24.181 Yes Industry Numerical Optimization Engineer Maths Permanent LocalSolver http://www.localsolver.com agenin@localsolver.com Paris France Full-time, fixed compensation + bonus + benefits, Paris Étoile/Champs-Elysées

Context

LocalSolver is a software company in the field of optimization and decision support. Launched on the market in 2012, the company comes from Bouygues e-lab, the Operations Research department of Bouygues Group created in 1994. The team is developing LocalSolver, an innovative mathematical optimization solver. In addition, she develops tailor-made optimization solutions with beautiful interfaces for various business areas. In strong growth and profitable, the company counts among its clients the largest French and foreign companies.

Job

You are responsible for developing numerical optimization algorithms inside LocalSolver that meet the expectations of our clients, particularly in terms of performance. Supervised by a senior of the team, you dialogue in a professional and constructive way with all the members of team as well as with our clients. You guarantee the total quality of your development through continuous integration and benchmarking tools, and in strict compliance with the deadlines. With just as much rigor and tact, you ensure maintenance and support services, and possibly training sessions, to our clients. You also help strengthen our continuous integration and benchmarking infrastructure.

Know-how

You are passionate about numerical optimization;
You love solving real-life problems;
You love implementing algorithms.

Soft skills

You are positive, energetic, pro-active, and your good mood is contagious;
You are ambitious and you like the startup spirit;
You have a high degree of autonomy and commitment to work;
You have an ability to listen, dialogue, argue;
You have a good written and oral expression in English.

Salary & working conditions

Full-time permanent contract to provide immediately. Fixed compensation according to profile and experience + bonuses according to the performance of the company and the collaborator + various benefits (mutual insurance, lunch, transport, ...). The bonuses can represent a complement of several months of salary. You will work within the LocalSolver team based at 36 avenue Hoche 75008 Paris. You will be brought to move in France and abroad, especially to attend to scientific conferences.

How to apply

Please email Arthur Genin at agenin@localsolver.com a ZIP file containing: a cover letter, a CV, and a folder containing the sources of a software project representative of your ability and potential in mathematical optimization (a project you are "proud of"). The file can be written in English or French. We will study your application and will contact you if it is selected for a first interview.

12/31/2018
327 Anonyme (not verified) 90.63.171.67 No Industry Engineer in Atmospheric CFD modeling Both Permanent NUMTECH http://www.numtech.fr numtech@numtech.fr Aubiere France Dans le cadre de son développement,
NUMTECH RECRUTE un ingénieur d’études en Modélisation Mécanique des Fluides Environnementale
(calcul écoulement et dispersion atmosphérique)


Mission :
Le poste consistera à réaliser des études d’écoulements en champs ouverts ou confinés et de dispersion de polluants (gazeux, particulaires, …) au moyen de la simulation numérique avec des codes de mécanique des fluides (CFD) appliqués à l'environnement (évaluation de la qualité de l’air, ….). Il s’agira également d’intégrer ces outils et de les mettre en œuvre dans le cadre de systèmes opérationnels d’aide à la décision (surveillance en continu, prévision, gestion de rejets accidentels).
Dans le cadre d’études en milieu urbain, l’ingénieur devra être également en mesure de mettre en œuvre d’autres outils numériques pour réaliser des diagnostics dits de confort (lié à l’ensoleillement, à la thermique, …).
Dans le cadre de cette mission, une veille scientifique et technique régulière autour des outils numériques CFD, sera demandée, ainsi que la participation à des projets de R&D.
En outre, l’ingénieur pourra être sollicité pour la rédaction d’offres commerciales ou plus largement pour des actions de prospection en lien avec le développement de la société.
Formation : Ingénieur ou Docteur en Mécanique des Fluides
Expérience : Première expérience souhaitée (CDD, post doc, etc.)
Rémunération : Suivant expérience et formation
Type de contrat : Contrat à Durée Indéterminée
Localisation : Poste à pourvoir en priorité à Clermont-Ferrand (63), d’autres localisations pourront être étudiées en fonction des contraintes du candidat.
Compétences souhaitées :
• Compétences en simulation numérique :
- Connaissance et expérience d'utilisation de codes de mécanique des fluides (idéalement Code_Saturne, OpenFoam, …),
- Connaissance et expérience d'utilisation de codes de dispersion (eulériens, lagrangiens).

• Couplage de codes et utilisation de mailleurs (tels que Salomé, ANSA, …) et d’outils de visualisation 3D (tel que Paraview par ex. et sans que cela ne soit exhaustif).

• Compétences sur les phénomènes physiques :
- Expertise en mécanique des fluides et en turbulence (application en aérodynamique ou hydrodynamique, …),
- Des connaissances en mécanique des fluides environnementale seraient un plus.

• Compétences informatiques :
- Maitrise du système LINUX,
- Connaissances en langages de programmation (C, C++) et de script (shell, python, …).

• Compétences « projet » :
- Rigueur et organisation,
- Maitrise du français et de l’anglais,
- Capacité rédactionnelle,
- Capacité à présenter des résultats à l'oral et à adapter le discours au public visé.

Lettre de motivation et CV à adresser à :
NUMTECH - Direction Administrative
6 allée Alan Turing -CS 60242
63178 AUBIERE CEDEX
ou par courriel à l’adresse numtech@numtech.fr
to define Euro INGENIEUR-CFD-2018_0.pdf (191 KB) 08/31/2018
326 Anonyme (not verified) 193.248.33.206 Yes Industry Data Scientist Both Permanent Depixus http://www.depixus.com pol.davezac@depixus.com Paris France Depixus (formerly PicoSeq) is a young and dynamic biotechnology company based in Paris. Our goal is to commercialize a highly innovative technology platform for the fast, accurate, and inexpensive extraction of genetic and epigenetic information from single molecules of DNA and RNA. Originally developed in the Physics Department of École Normale Supérieure (ENS) in Paris, the potential of this exciting technology has been recognized through the award of numerous grants and prizes for innovation at both national and international levels. You can read more about Depixus on our website (www.depixus.com).

Depixus currently has an open position for a full-time data scientist to work on various projects related to the development of our technology platform. This is rare opportunity to play an important role in the development of a cutting-edge technology, and as part of a dynamic early-stage company.



Job Description

We are seeking an exceptional individual who enjoys working in a highly collaborative and fast paced R&D environment to join our multidisciplinary team. The successful candidate will work with biologists, engineers, physicists and software engineers, both within Depixus and as part of collaborations with academic and OEM partners. He/she will play an important role in the commercialization of our innovative new technology platform for fingerprinting, sequencing, and epigenetic analysis of DNA and RNA.

The successful candidate will be part of the data science team. He/she will analyze the data generated on our instrument systems and create data and signal analysis processes to extract genetic and epigenetic information. He or she will also be working closely with the biology team to develop down-stream data mining and modelling algorithms for analysis of RNA and DNA maps, sequences, and epigenetic fingerprints. He/she should have demonstrated competence working both individually and in project teams.

This role would suit candidates who have strong skills in statistics, data analysis and programming and are willing to learn about the physics and the biology we use at Depixus.



Minimum Qualifications & Experience

Graduate-level degree in the field of data analysis or related fields:
Ideally at masters’ level or above
Good knowledge of statistics
Ideally with previous experience of statistical treatment of biological datasets
Good knowledge of data analysis and signal analysis methods
Ideally with previous experience of working with large genetics datasets
Good knowledge of programming (Python, C++, Julia…)
Good communication skills in oral English. In particular candidates should be capable of presenting technical information and data to non-experts in a clear and concise manner



Desirable Qualifications & Experience

Good experience with MATLAB, SciPy, R, SciLab or equivalent
Good working knowledge in genomics and practical experience of using bioinformatic applications (such as aligners, genome assemblers, visualization tools, and variant callers) for analysis of data from 2nd or 3rd generation sequencing technologies.



Responsibilities

Support of data analytics and bioinformatics pipeline development for Depixus’ innovative technology platform including:
Development and implementation of signal analysis tools for initial treatment of raw data generated on our instrument systems
Development of down-stream data mining and modelling algorithms for analysis of RNA and DNA maps, sequences, and epigenetic fingerprints
Development and testing of automated and manual tests to ensure the quality of data processing and bioinformatic algorithms developed
Participation in formal and informal design and code reviews
Participation in group meetings, presentation of work to group members



Location

The job will be based in the Paris, France
10/10/2018
325 Anonyme (not verified) 92.154.43.219 Yes Industry Research engineer in numerical optimization Maths Permanent Artelys http://www.artelys.com recrutement@artelys.com Paris France Artelys est une PME innovante spécialiste de l'optimisation, des data sciences et de l'aide à la décision. Nous faisons appel à des techniques de haut niveau et des technologies de pointe pour répondre aux problématiques complexes de nos clients. Nous sommes présents dans de nombreux secteurs incluant l'énergie, le transport et la logistique.

Notre établissement principal est à Paris et nous sommes également implantés en Amérique du Nord (Montréal, Chicago, Los Angeles), ainsi qu'à Bruxelles.

Au sein de nos équipes de R&D, vous mettrez en œuvre vos compétences numériques dans le domaine de la recherche opérationnelle pour concevoir et développer des solveurs d’optimisation de pointe. Vous aurez souvent l'opportunité de travailler sur plusieurs types de bibliothèques numériques développées par Artelys : programmation non-linéaire continue et mixte (Artelys Knitro), programmation par contraintes (Artelys Kalis), optimisation de systèmes énergétiques (Artelys Crystal Optimization Engine). Vous serez en charge du développement de nouvelles fonctionnalités algorithmiques mêlant mathématiques et informatique, tout en cherchant à maintenir un haut de niveau de robustesse et de performance des logiciels.

Selon les projets, les solutions réalisées pourront s'inscrire dans trois cadres différents :
• Au sein de bibliothèques numériques développées par Artelys, en particulier Artelys Knitro, Artelys Kalis, ou Artelys Crystal Optimization Engine
• Dans le cadre d'une prestation pour le compte d'un de nos clients
• Dans le cadre des programmes de recherche auxquels Artelys participe

Rejoindre Artelys offre l'opportunité de s'investir dans des projets passionnants et enrichissants, avec des enjeux importants au niveau économique et environnemental. Notre structure particulière nous permet de travailler sur de nombreux projets, avec parfois des rôles différents (chef de projet, expert, ingénieur de recherche…). Le tout dans une ambiance de travail chaleureuse, avec des possibilités de monter rapidement en compétence et en responsabilités.

N’hésitez pas à déposer votre candidature sur notre espace dédié : https://www.artelys.com/fr/artelys/candidature !
Expert_Numerique_Optimisation_fr_Artelys_0.pdf (662 KB) 10/06/2018
324 Anonyme (not verified) 92.154.43.219 Yes Industry Data scientist Maths Permanent Artelys http://www.artelys.com recrutement@artelys.com Paris France Artelys est une PME innovante spécialiste de l'optimisation, des data sciences et de l'aide à la décision. Nous faisons appel à des techniques de haut niveau et des technologies de pointe pour répondre aux problématiques complexes de nos clients. Nous sommes présents dans de nombreux secteurs incluant l'énergie, le transport et la logistique.

Notre établissement principal est à Paris et nous sommes également implantés en Amérique du Nord (Montréal, Chicago, Los Angeles), ainsi qu'à Bruxelles.

Au sein d’une équipe dynamique de haut niveau, vous interviendrez conjointement sur des projets de R&D et clients, centrés sur l’analyse et la consolidation de données (de grande et de petite taille), la conception et l’implémentation de méthodes de modélisation performantes, ainsi que la restitution visuelle de ces traitements.

En particulier, vous serez amené(e) à :
• Explorer des jeux de données bruts (potentiellement très volumineux et de sources disparates), implémenter des techniques de visualisation pour en intuiter le sens, appliquer des méthodes de consolidation afin de leur donner une structure robuste servant de base à la modélisation.
• Implémenter et tester un large spectre de solutions de modélisation (des statistiques classiques aux techniques modernes du machine learning), afin d’en exploiter la meilleure combinaison.
• Développer des solutions de visualisation et d’exploitation des résultats dans un contexte opérationnel.

Les postes sont à pourvoir à Paris.

Rejoindre Artelys offre l'opportunité de s'investir dans des projets passionnants et enrichissants, avec des enjeux importants au niveau économique et environnemental. Notre structure particulière nous permet de travailler sur de nombreux projets, avec parfois des rôles différents (chef de projet, expert, ingénieur de recherche…). Le tout dans une ambiance de travail chaleureuse, avec des possibilités de monter rapidement en compétence et en responsabilités.

N’hésitez pas à déposer votre candidature sur notre espace dédié : https://www.artelys.com/fr/artelys/candidature
Datascientist_fr_Artelys.pdf (699 KB) 10/06/2018
323 Anonyme (not verified) 128.93.83.156 No Industry Ingénieur en développement C/C++ pour la simulation numérique de structures immergées dans un fluide Maths Short Term Inria http://www.inria.fr miguel.fernandez@inria.fr Paris France Ce projet s'intègre dans les activités de recherche de l'équipe REO concernant le
développement de méthodes numériques précises et robustes pour la simulation de
structures élastiques immergés dans un fluide. L'exemple principal est la simulation
numérique des valves cardiaques (aortique et mitrale). Parmi les difficultés majeures
auxquelles il faut faire face, on peut mentioner: les grands déplacements de
l'interface, le contact entre solides (avec des changements topologiques dans le
fluide) et les singularités dans la vitesse et pression fluide (qui compliquent leur
approximation).
Une nouvelle méthode numérique, dite Nitsche-XFEM, a été introduite recemment
dans le cadre d'une collaboration entre les équipes REO et GAMMA3
(voir https://project.inria.fr/exifsi). Cette nouvelle approche combine un traitement
faible du couplage à l'interface (méthode de Nitsche) avec une technique d'éléments
finis étendus (XFEM) basée sur des maillages avec recouvrement sur la zone fluide
coupée par l'interface.

Actuellement, cette méthode est implémentée en 2D dans la
plateforme de simulation numérique FELiScE (éléments finis), développée par
l'équipe REO en C++. Cette implémentation fait appel à Wolf-Xfem, le module
d'intersection de maillages surface-volume du logiciel Wolf developpé par l'équipe
GAMMA3 en C.

L'ingénieur recruté aura les missions suivantes :
a. développement et mise en oeuvre dans Wolf-Xfem d'algorithmes
d'intersection efficaces et robustes entre un maillage triangulaire de surface
(le solide) et un maillage tétraédrique de volume (le fluide);
b. mise en oeuvre du solveur Nitsche-XFEM 3D dans FELiScE et son interfaçage
avec les algorithmes de (a).
ADT_NXFEM3D_0.pdf (66 KB) 07/20/2018
322 Anonyme (not verified) 165.225.72.161 Yes Industry Statitician in Pharmaceutical Industry Maths Short Term Boehringer-Ingelheim https://www.boehringer-ingelheim.com/ noelle.boussac-Marliere@boehringer-ingelheim.com Toulouse France Le(la) statisticien(ne) recruté(e) devra réaliser des analyses de données pour les départements de production et de contrôle qualité du site de Toulouse. En production, ce soutien concerne des études de validation, optimisation et maîtrise des procédés. Auprès des équipes de contrôle qualité, il/elle participera aux études de transfert, validation et mise sous contrôle des techniques analytiques. Le(a) statisticien(ne) sera également impliqué(e) dans des groupes de projet internes pour de nouveaux produits ou associé(e) à des investigations sur des produits du site.
Ce poste nécessite d’identifier d’identifier clairement le besoin, d’analyser les données selon la méthode statistique appropriée, de rédiger des rapports et faire preuve de pédagogie dans la présentation des résultats.
39300-45400 if beginner Euro Poste de Statisticien en industrie - Toulouse - Interim 6 mois.pdf (197 KB) 08/15/2018
321 Anonyme (not verified) 84.88.50.60 Yes Industry PhD position in Semantic technologies and Data mining Both PhD Thesis Barcelona Supercomputing Center http://www.bsc.es maria.marinescu@bsc.es Barcelona Spain About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 500 staff from 44 countries.

Context and Mission
We are looking for strong international candidates (speaking Spanish not required) to fill a PhD student position in the area of Data Integration and Analysis, in the Smart Cities group at the Computer Applications in Science and Engineering Department (CASE). The student will be part of a team including researchers and professors from the Barcelona Supercomputing Center and Universitat Politecnica de Catalunya, covering the areas of Semantic Technologies, Data Mining, Natural Language Processing, and High Performance Computing. This project is motivated by our desire to increase the efficiency and impact of social services by improving the detection of vulnerable members of our society. The topic fits and extends the objectives of the LinDaFIX project, funded by RecerCaixa (Obra Social la Caixa) and supported by the collaboration of the Ajuntament de Barcelona.

This PhD topic will involve research in most (although possibly not all) of the following: (1) semantic technologies - ontology design, automated reasoning, incremental change computation, semi-automatic ontology extension and mapping, and (2) analysis and prediction - pattern and anomaly detection, machine learning, natural language processing. We will insist on getting results that can improve the quality of the relevant data, help social workers make better decisions, and guide resource allocation based on insights from the integration and analysis of big datasets. We count with the collaboration of the Social Services department of the Ajuntament de Barcelona, which is interested in implementing the result of the project in the daily activities. This gives this project a potentially big real-world impact and visibility.

Key Duties
* Research
* Publishing
* Interacting with the Social Services department of the Ajuntament de Barcelona (City Counsel)
The candidate will work closely with Maria-Cristina Marinescu and Maria Ribera. When specific expertise may be required, the candidate will also work with Ernest Teniente (UPC) and a few other researchers at CASE.


Requirements
● Education
○ Master degree in Computer Science or Mathematics. Exceptional candidates with a different background may be considered.
● Essential Knowledge and Professional Experience
○ Experience in one of the following topics, and interest in learning the other:
(1) Formal reasoning / Semantic technologies
(2) Data mining / Machine learning
o Good programming skills
● Additional Knowledge and Professional Experience
o Experience with graph algorithms and/or parallelization / HPC a plus
o Statistics knowledge a plus
● Competences
○ Fluency in spoken and written English
○ Highly motivated to do research

Conditions
* The position will be located at BSC within the CASE department
* We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible hours, extensive training plan, tickets restaurant, private health insurance, full support for the relocation procedures.
* Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
* Duration of the contract: 3 years, with a test period of 6 months
* Starting date: ASAP

Applications Procedure
All applications must include:
* A motivation letter with a statement of interest, including three contacts for further references
* A full CV including contact details
BSC_PhD_position_Semantic_4.pdf (459 KB) 07/26/2018
320 Anonyme (not verified) 128.131.111.65 Yes Industry 16 PhD Positions on Logical Methods in Computer Science Both PhD Thesis TU Wien - Vienna University of Technology Partially http://logic-cs.at/phd/ info@logic-cs.at Vienna Austria 16 PhD Positions on Logical Methods in Computer Science

TU Wien, TU Graz, and JKU Linz are seeking 16 doctoral students for their joint doctoral program on Logical Methods in Computer Science (LogiCS).

THE PROGRAM
LogiCS focuses on logic and its applications in computer science. Successful applicants will work on interdisciplinary research topics covering
(i) computational logic,
(ii) databases and artificial intelligence,
(iii) computer-aided verification, and
(iv) emerging application domains, such as cyber-physical systems, distributed systems, and security & privacy.

HOW TO APPLY
Detailed information about the application process is available on the LogiCS web-page
http://logic-cs.at/phd/admission/
The positions will be filled on continuous basis till October 2018.
The evaluation of applications will start on 1st of March, 2018.

FACULTY MEMBERS
Austria has a vibrant and highly active and successful logic in computer science community. Students are supervised by leading researchers in their fields:

E. Bartocci A. Biere R. Bloem A. Ciabattoni
G. Gottlob T. Eiter R. Grosu L. Kovacs
M. Maffei M. Ortiz U. Schmid M. Seidl
S. Szeider G. Weissenbacher S. Woltran

Details are provided on http://logic-cs.at/faculty/

POSITIONS AND FUNDING
We are looking for 16 doctoral students, where 30% of the positions are reserved for highly qualified female candidates. The doctoral positions are funded for a period of 4 years according to the funding scheme of the Austrian Science Fund (details: http://www.fwf.ac.at/de/forschungsfoerderung/personalkostensaetze/). Additional positions will be available through other funding.

HOW TO APPLY

The applicants are expected to have completed an excellent bachelor’s and master's degree in computer science, mathematics, or a related field. Candidates with comparable achievements (e.g., bachelor of honors) may be considered on a case-by-case basis.

Applications will be screened on the following dates:
July 1, 2018
September 1, 2018
September 15, 2018

The positions will be filled on continuous basis till October 2018.

Applications by the candidates need to be submitted electronically. Detailed information about the application process is available on the LogiCS web-page
http://logic-cs.at/phd/admission/



STUDYING AND LIVING IN AUSTRIA
Austria has a vibrant and highly active and successful logic in computer science community. Vienna, Graz, and Linz, located close to the Alps, are surrounded by beautiful nature. Vienna is constantly ranked the city with the highest quality of life in the world. Austria has an exciting cultural scene, world-famous historical sites, a large international community, varied cuisine, and famous coffee houses.

For further information please contact: info@logic-cs.at
25000-35000 Euro 08/30/2018
319 Anonyme (not verified) 160.92.7.69 Yes Industry R&D Data Analytics Engineer Computer Science Permanent Worldline https://fr.worldline.com/ stephane.valembois@worldline.com Lyon France Dans le cadre du développement de ses activités de stimulation et de valorisation de l’innovation, Worldline recherche des chargés de recherche en machine learning et en intelligence artificielle ainsi que des data scientists.

Vous rejoindrez au sein de la R&D la division High Processing & Volume (HPV). Le rôle principal de la division HPV est d'identifier les tendances futures dans le domaine du machine learning qui peuvent être utiles pour l'entreprise ainsi que d'étudier les nouvelles technologies du big-data.

Les principaux thèmes couverts par la division HPV sont : le calcul à haute performance, le big-data, le data mining, les systèmes d'apprentissage, les systèmes adaptatifs, la reconnaissance de formes, l'analyse sémantique, l'optimisation, l'aide à la décision, les systèmes multi-agents, la détection d’anomalie, etc.

Vous avez une expérience de plusieurs années dans le développement de services IT. Vous faites de l'IT par passion et menez une veille technologique assidue. Le flou ne vous fait pas peur et ce qui vous anime principalement c'est de travailler dans l'incertitude sur des projets à forte visibilité ou totalement confidentiels.

Le poste exige d'être capable de faire du stop & go à tout moment. Les projets menés au sein de l'équipe demandent à la fois une forte réactivité mais aussi beaucoup de ténacité. La gestion du temps est celle de l'innovation, de l'émergence mais aussi des opérations commando.

Vous aimez concevoir des architectures, et le contexte de projets internationaux à forte visibilité vous attirent.

Profil et compétences
• Avoir la culture du challenge technologique.
• Passionné d'informatique et de sciences, vous aimez travailler avec plusieurs langages comme par exemple Python, C, C++, Java, CUDA.
• Vous aimez à la fois réaliser des algorithmes véloces mais également les mettre en musique au travers d’interfaces graphiques. Les différents types de systèmes d’exploitations ne sont plus un secret pour vous et il vous plairait d’utiliser du hardware non conventionnel.
• Vous cherchez un environnement exigeant pour relever de nouveaux challenges et exprimer votre potentiel, pour cela vous êtes prêt à apprendre de nouvelles technologies.
• Vous aimez travailler en équipe, dans une démarche agile. Motivé et passionné par la data science et le machine learning. Expériences en data mining, deep learning et feature engineering sont indispensables.
• Avoir des compétences en anomaly detection, reinforcement learning constitue un atout supplémentaire.
• Maîtrise du français et de l’anglais (oral, écrit).
• Autonomie, ouverture d’esprit, capacité de collaboration, esprit d’analyse et de synthèse.
33K€-45K€ Euro WorldlineEngineer_0.pdf (77 KB) 12/31/2018
318 Anonyme (not verified) 160.92.7.69 Yes Industry Researcher in Machine Learning and Artificial Intelligence Both Permanent Worldline https://fr.worldline.com/ stephane.valembois@worldline.com Lyon France Dans le cadre du développement de ses activités de stimulation et de valorisation de l’innovation, Worldline recherche des chargés de recherche en machine learning et en intelligence artificielle ainsi que des data scientists.

Vous rejoindrez au sein de la R&D la division High Processing & Volume (HPV). Le rôle principal de la division HPV est d'identifier les tendances futures dans le domaine du machine learning qui peuvent être utiles pour l'entreprise ainsi que d'étudier les nouvelles technologies du big-data.

Les principaux thèmes couverts par la division HPV sont : le calcul à haute performance, le big-data, le data mining, les systèmes d'apprentissage, les systèmes adaptatifs, la reconnaissance de formes, l'analyse sémantique, l'optimisation, l'aide à la décision, les systèmes multi-agents, la détection d’anomalie, etc.

Ce travail vous amènera à collaborer avec des chercheurs en data science. Vous serez impliqué dans des programmes de recherche internationaux et vous aiderez à coordonner des projets avec des centres de recherche et des universités spécialisées dans l'apprentissage automatique. Vous participerez aux montages de projet. Vous serez également impliqué dans la réalisation de prototype de preuve de concepts et soutiendrez des unités d'affaires de Worldline en réponse à leurs demandes éventuelles d'expertise.

Au travers de ces activités, vous participerez à la valorisation de la propriété intellectuelle (brevets, etc.), produirez des publications scientifiques, participerez à des conférences techniques ou scientifiques et contribuerez à notre approche transversale de diffusion des connaissances.

Profil et compétences

• Jeune docteur, post-doctorant et chargé de recherche confirmé en informatique / mathématiques appliquées / machine learning / ou dans des domaines similaires.
• Motivé et passionné par la data science et le machine learning. Expériences en data mining, deep learning et feature engineering sont indispensables.
• Avoir des compétences en anomaly detection, reinforcement learning constitue un atout supplémentaire.
• Avoir des bases solides en mathématiques.
• Il est également indispensable d’avoir de l’expérience en programmation. La maitrise de l’un ou plusieurs de ces langages est nécessaire : Python, R ou C++.
• Capacité d’apprendre rapidement des nouvelles technologies et de les implémenter.
• Maîtrise du français et de l’anglais (oral, écrit).
• Autonomie, ouverture d’esprit, capacité de collaboration, esprit d’analyse et de synthèse.
38K€-50K€ Euro WorldlineResearcher_0.pdf (79 KB) 12/31/2018
317 Anonyme (not verified) 155.143.237.173 Yes Industry Post-doc in financial engineering and optimal decisions under uncertainty Both Short Term CSIRO https://www.data61.csiro.au/ nicolas.langrene@data61.csiro.au Melbourne Australia https://jobs.csiro.au/job/Melbourne%2C-VIC-Postdoctoral-Fellowship-in-Financial-Engineering/482384400/ 07/02/2018
316 Anonyme (not verified) 134.206.80.59 Yes Industry Future CTO – Experienced Data Scientist Both Short Term PAM (Inria spin-off) https://inria.fr/centre/lille jean-francois.bouin@inria.fr Lille France An Inria spin-off, PAM is a software publisher dedicated to predictive maintenance for
industry. On the strength of several collaborative ventures with large-scale industrial firms,
we wish to continue developing a solution that integrates the latest R&D technologies and
meets the needs of experts in the field.

Proactive and pragmatic, you will be responsible for meeting technological challenges in
collaboration with Inria research teams and industrial partners. Within the team composed
of a CEO, a director of Business Development & Marketing and an Inria scientific advisor,
your missions will be to build our development roadmap, to source and integrate enabling
technologies and to help with the launch of our product. You will also be involved in building
technical and industrial partnerships. As well, in the short term, you will be responsible for
supervising interns.

This position, based in Lille at the EuraTechnologies Campus, is open to an engineer or PhD
student proficient in R, C++, Python and Java. To successfully carry out your missions, you
must have a strong command of Machine Learning and statistical learning (clustering
algorithms, SVM, logistic regression and random forest). You must be fluent in English.

About Inria:
Inria, a research institute dedicated to digital technologies, brings together 2,700
collaborators from the world’s finest universities. Inria meets challenges in computer science
and mathematics and develops the digital technologies of tomorrow. Highly involved in
technology transfer, Inria has an active policy to support the creation of spin-off start-ups
that launch market-ready solutions based on the institute’s research findings.

Start date: September 2018
Salary: based on experience
Send your CV and an email to jean-francois.bouin@inria.fr
Euro CTO PAM_1.pdf (44 KB) 07/31/2018
315 Anonyme (not verified) 188.165.109.41 Yes Industry Experienced Data Scientist, future CTO for Inria spin-off Both Short Term Inria http://www.inria.fr jean-francois.bouin@inria.fr Lille France An Inria spin-off, PAM is a software publisher dedicated to predictive maintenance for industry. On the strength of several collaborative ventures with large-scale industrial firms, we wish to continue developing a solution that integrates the latest R&D technologies and meets the needs of experts in the field.

Proactive and pragmatic, you will be responsible for meeting technological challenges in collaboration with Inria research teams and industrial partners. Within the team composed of a CEO, a director of Business Development & Marketing and an Inria scientific advisor, your missions will be to build our development roadmap, to source and integrate enabling technologies and to help with the launch of our product. You will also be involved in building technical and industrial partnerships. As well, in the short term, you will be responsible for supervising interns.

This position, based in Lille at the EuraTechnologies Campus, is open to a PhD or MSc proficient in R, C++, Python and Java. To successfully carry out your missions, you must have a strong command of Machine Learning and statistical learning (clustering algorithms, SVM, logistic regression and random forests). You must be fluent in English.

About Inria:
Inria, a research institute dedicated to digital technologies, brings together 2,700 collaborators from the world’s finest universities. Inria meets challenges in computer science and mathematics and develops the digital technologies of tomorrow. Highly involved in technology transfer, Inria has an active policy to support the creation of spin-off start-ups that launch market-ready solutions based on the institute’s research findings.

based on experience Euro Offer CTO PAM EN.pdf (334 KB) 07/31/2018
314 Anonyme (not verified) 88.179.85.203 No Industry Computational developments for integrative structural biology Both PhD Thesis Inria http://www.inria.fr sergei.grudinin@inria.fr Grenoble France The overall research topic of the current project is to extend the state-of-the-art computational methods for small-angle (both SAXS and SANS) scattering experiments and to provide algorithmic foundation to the upcoming single-molecule experimental techniques. In particular, the practical aim of the project is the development of software tools with intuitive user-interaction feedback.

Mathematically, the project will rely on the very efficient representation of the scattering profiles based on polynomial expansions of the scattering amplitudes using spherical harmonics. Structural optimization will be performed using the fast Fourier transform–accelerated techniques and the polynomial translation theorems and large collective structural motions using Normal Mode Analysis.

Three main axes of the proposed project are : (i) Molecular flexibility and the ways of modelling it; (ii) Algorithmic developments for new experimental setups, particularly combining SAXS and SANS data, and 2D scattering; (iii) Practical software development with intuitive user interfaces.
1768-2100 gross Euro SAS-PhD.pdf (188 KB) 06/30/2018
313 Sampayo 193.144.81.195 Yes Industry :Development and implementation of computational methods in the open source automated massively parallel FEniCS framework. Ap- plication to multiplatf Maths PhD Thesis BCAM http://www.bcamath.org esr6-application@enable-project.com Bizkaia Spain Develop and implement computational methods for the future of manufacturing of metals in the open source automated massively parallel FEniCS framework, in collaboration with leading researchers and companies in the ENABLE project. The research will focus on highly efficient general continuum modelling with adaptive error control in the Unified Continuum methodology, and to develop the FEniCS framework in general to support this type of advanced modelling. 06/15/2018
312 Anonyme (not verified) 147.175.31.42 No Industry Research in biomedical image processing Both Short Term Slovak University of Technology Acquifer, Germany, PhaseView, France, TatraMed Software, Slovakia http://www.imageinlife.eu/joomla/ karol.mikula@gmail.com Bratislava Slovakia The research position is devoted to development and analysis of mathematical models and computational algorithms for cell tracking in 3D+time biology videos of early stages of embryogenesis in the framework of EU project ImageInLife. The position is avaliable until December 31, 2020 and the researcher will be also involved in PhD study in applied mathematics at Slovak university of technology in Bratislava. The secondments in industrial partners are planned as well. The applicant must be less than 4 years after finishing master or engineering study and contact by email Prof. Karol Mikula who will superwise this research and PhD study. 2300-2400 brutto Euro 06/15/2018
311 Anonyme (not verified) 90.63.248.37 No Industry Project Manager Both Permanent LittéraL http://www.litteral.com rh@litteral.fr Suresnes (92) France Offre d'emploi / Chef de projet (H/F)

Nous recherchons un chef de projet pour rejoindre notre pôle forfait, basé au siège de notre société à Suresnes (92).

En relation avec les équipes R&D de nos clients, vous vous aurez en charge des projets de développement de logiciels scientifiques et techniques, principalement destinés aux secteurs de l'industrie et de l'énergie.

Vous participerez également à des missions d'avant-vente (prises d'information, élaboration de solutions, réponses à appels d'offres) dans le cadre du support technique apporté au responsable commercial.

De formation supérieure (ingénieur, master 2, doctorat), vous justifiez d'une expérience significative dans le développement de logiciels industriels.

Vous avez une bonne pratique des méthodes de développement (méthodes agiles) et de l'assurance qualité logiciel.
Vous maîtrisez la conception et la programmation objet (Java, C++, C#) dans au moins un des environnements suivants :
- C++/QT
- C#/.Net/WPF
- Java/Eclipse RCP/SWT

Vos connaissances métier (physique, chimie, optique, mécanique, géosciences, ...) sont un plus.

Contrat à durée indéterminée.
Rémunération (fixe) selon profil et expérience.

Envoyez votre candidature à rh@litteral.fr sous référence: CP/1803-1/WB.

Annonce visible à l’adresse www.litteral.com/fr/news.html
Euro Annonce chef de projet LittéraL - 2018-04.pdf (74 KB) 06/02/2018
310 Anonyme (not verified) 90.63.248.37 Yes Industry Software Engineer Computer Science Permanent LittéraL http://www.litteral.com rh@litteral.fr Suresnes (92) France Offre d'emploi : Ingénieur logiciel (H/F)

Nous recherchons un ingénieur logiciel pour rejoindre notre pôle forfait, basé au siège de notre société à Suresnes (92).

En relation avec les équipes R&D de nos clients, vous participerez au développement de logiciels scientifiques et techniques destinés aux secteurs de l'industrie et de l'énergie, dans les domaines: de la simulation, de l'optimisation de procédés, ou de l'analyse de données (mesure et instrumentation, analyse statistique, traitement d'image, ...).

De formation supérieure (ingénieur, master 2, doctorat), vous justifiez d'une première expérience réussie dans le développement de logiciels à forte composante graphique (IHMs, 2D/3D, imagerie) ou numérique (modélisation, simulation, HPC).

Vous maîtrisez la conception et la programmation objet (Java, C++ ou C#) ainsi que l'une des plates-formes de développement suivantes :
- QT 5.x (Windows ou Linux)
- .Net/WPF ou Win32/MFC
- Eclipse/SWT, JFC/Swing ou JavaFX
- Android SDK et NDK

Pour ce poste, un socle de connaissances maths/physique minimum est exigé (niveau écoles préparatoires ou licence 2).

Contrat à durée indéterminée.
Rémunération (fixe) selon profil et expérience.

Envoyez votre candidature à rh@litteral.fr sous référence: IL/1803-2/WB.
Annonce visible à l’adresse www.litteral.com/fr/news.html
Euro Annonce ingénieur logiciel LittéraL - 2018-04.pdf (75 KB) 06/02/2018
309 Anonyme (not verified) 86.201.23.152 No Industry Applied Mathematician or Research Engineer in numerical modelling and imaging processing Computer Science PhD Thesis CNRS http://www.get.obs-mip.fr roland.martin@get.omp.eu Toulouse France Title: DIMSCALE3D: basin and subsurface water mass detection and imaging via high performance computing and joint inversion of seismic and potential data

Funding: Doctoral grant of Region Occitanie and Federal University of Toulouse Midi-Pyrénées; gross pay: 1768 euros; net pay: 1414 euros.
Thesis supervisors and contacts:
Dr. Ing. Didier El Baz HDR, LAAS-CNRS, 05 61 33 63 03 elbaz@laas.fr
Dr. Roland Martin HDR, GET, 05 61 33 25 64 roland.martin@get.omp.eu

Project summary:
Due to current environmental and climatic issues, discovering, producing and managing new resources like underground water are major challenges. Our project aims at developing new tools for prospecting, monitoring and management of water and fluid contents at regional scale. The design and application of powerful imaging tools will be done at different spatial and temporal scales (basins and near-surface) with multiple data, e.g., seismic, electrical and gravimetric data. This project involves together geophysicists of the Geosciences Environment Toulouse Laboratory (GET) and computer scientists and applied mathematicians of the Laboratory of Analysis and Systems Architecture (LAAS-CNRS). In order to estimate water contents at sedimentary and near-surface scales, we propose to improve, optimize and use imaging tools to invert simultaneously various data at different scales. This is a major challenge. The project falls within two priority research topics of the GET laboratory : 1)Geo-resources, Geophysics and Geodesy, and 2) the priority axis of the University Paul Sabatier in Earth Sciences and High Performance Computing as well as Axis 1 of the Regional Competitiveness Pole AQUAVALLEY: Identification and assessment of water resources (identification and characterization of surface and deep water resources - quality and quantity of the resource - anticipation of the evolution of the resource).

Given the large volume of data to be processed, the optimization of parallel code on the regional platform CALMIP or some local platforms like NUWA at OMP will make it possible to accurately estimate water contents. The calculations will be carried out with data collected at the controlled laboratory scale and in two pilot sites, i.e., the Saint-Lary Soulan basin (kilometric scale data) and a medium scale site on the Mediterranean coast using seismic data and the BGI gravimetric database. The applications to the natural environment will be conducted under the supervision of experts in data acquisition and processing. In the medium term, we will be able to carry out systematic studies in the Pyrenees and monitor the transfer of water content masses at local and regional scales.

Goals of the Ph.D. work:
The Ph.D. student will focus his efforts on:
1) The improvement, adaptation and optimization of numerical simulation (forward problem using high order numerical schemes) and High Performance Computing (HPC) data inversion codes for the modeling and coupling of different physics during inversions .
2) The application and validation of digital acoustic data inversion codes in a controlled laboratory environment at a frequency range of a few kHz.
3) Taking into account of petrophysical and geological data a priori during the inversion process at the scales of the subsurface and basins.

Required profile: Master's degree in Earth and Planetary Science, applied mathematics or civil engineering, preferably with an engineering degree( INSA, INP, ENSICA, ISAE, .. .engineering schools)
Scientific curiosity, a taste for geophysical exploration, numerical simulation and parallel computing; faculties of teamwork. Strong background in finite elements, fiinite differences anf finite volumes.

Skills: good to excellent level in Fortran90/2008 and/or C / C ++ code development on Linux; knowledge of MPI, OpenMP, CUDA, OpenACC or OpenCL; numerical simulation, parallel algorithms; experience appreciated in computing accelerators: GPU, Intel Xeon Phi or cluster computing.

Professional perspectives of the PhD student: know-how in the fields of numerical computation and high-performance computing (HPC); expertise in geophysics and civil engineering for private companies as well as the academic career at regional or international level.
1414 Eurros net pay; 1768 Euros gross pay Euro 06/26/2018
308 Anonyme (not verified) 83.202.120.107 No Industry Datascientist NLP Computer Science Permanent Mission Etalab - Service du Premier Ministre https://www.etalab.gouv.fr/ candidatures-etalab.sgmap@modernisation.gouv.fr Paris France Available here :
https://www.fonction-publique.gouv.fr/biep?idOffre=120068&idOrigine=&LCID=1036&offerReference=2018-120068

Intitulé du poste
Data scientist, spécialiste traitement du langage naturel et reconnaissance d'entités nommées (F/H)

Descriptif de l'employeur
La mission Etalab anime et coordonne la transformation de l'action publique fondée sur les données (data sciences, open data, circulation de la donnée) et l'ouverture (open gov et open data).
Elle développe et administre la plateforme data.gouv.fr, est responsable de la diffusion des données de référence, développe des infrastructures de données (base adresse nationale, API entreprise, etc).
Elle accompagne les administrations dans la mise en œuvre de stratégies fondées sur la donnée et dans leur stratégie d'ouverture et de collaboration avec la société civile.
La mission Etalab fait partie de la Direction interministérielle du numérique et du système d'information et de communication de l'État (DINSIC).

Descriptif du poste
Placé.e au sein de l'équipe data sciences de la mission Etalab, le ou la candidat.e sera chargé.e de développer et mettre en œuvre des méthodes de traitement du langage naturel (NLP).
A titre d'exemple, il.elle pourra être amené.e à travailler sur le développement de méthodes de pseudonymisation des décisions de jurisprudence, afin notamment de pouvoir les diffuser en open data conformément à la Loi pour une République numérique.
De façon générale, il.elle sera amené.e à travailler sur les questions d'occultations d'informations couvertes par des secrets.
Il.elle pourra également travailler sur l'extraction d'informations structurées à partir d'éléments textuels ex. décisions de justice.
L'objectif est de renforcer la compétence de la mission Etalab sur le sujet et de développer des outils libres et documentés pouvant être utilisés par les différentes administrations pour une large diffusion de données en open data.

Description du profil recherché
Le ou la candidat.e doit être titulaire d'un doctorat ou d'un diplôme de niveau master en statistiques ou en data sciences ou avoir une expérience spécifique dans ce domaine.
Il.elle doit avoir de solides connaissances en machine learning et une expérience en traitement du langage naturel (NLP) et reconnaissance d'entités nommées (NER).
Il ou elle doit avoir une bonne connaissance en programmation (Python ou R).

• Capacité à travailler en équipe et de manière agile ;
• Compétences en programmation (Python et/ou R) et connaissance des bibliothèques spécialisées dans le traitement du langage naturel (Spacy, NLTK, NeuroNER, etc) ;
• Compétences en traitement du langage naturel et machine learning.
Euro 629-18-DINSIC-Fiche+de+poste+NLP.pdf (251 KB) 06/18/2018
307 Anonyme (not verified) 90.63.248.37 No Industry Project Manager Both Permanent LittéraL http://www.litteral.com rh@litteral.fr Suresnes (92) France Nous recherchons un chef de projet pour rejoindre notre pôle forfait, basé au siège de notre société à Suresnes (92).

En relation avec les équipes R&D de nos clients, vous vous aurez en charge des projets de développement de logiciels scientifiques et techniques, principalement destinés aux secteurs de l'industrie et de l'énergie.

Vous participerez également à des missions d'avant-vente (prises d'information, élaboration de solutions, réponses à appels d'offres) dans le cadre du support technique apporté au responsable commercial.

De formation supérieure (ingénieur, master 2, doctorat), vous justifiez d'une expérience significative dans le développement de logiciels industriels.

Vous avez une bonne pratique des méthodes de développement (méthodes agiles) et de l'assurance qualité logiciel.

Vous maîtrisez la conception et la programmation objet (Java, C++, C#) dans au moins un des environnements suivants :
- C++/QT
- C#/.Net/WPF
- Java/Eclipse RCP/SWT

Vos connaissances métier (physique, chimie, optique, mécanique, géosciences, ...) sont un plus.
Contrat à durée indéterminée.

Rémunération (fixe) selon profil et expérience.

Envoyez votre candidature à rh@litteral.fr sous référence: CP/1803-1/WB.

Annonce visible à l’adresse www.litteral.com/fr/news.html
Euro Annonce chef de projet LittéraL - 2018-04_0.pdf (74 KB) 05/16/2018
306 Anonyme (not verified) 90.63.248.37 No Industry Software Engineer Both Permanent LittéraL http://www.litteral.com rh@litteral.fr Suresnes (92) France Nous recherchons un ingénieur logiciel pour rejoindre notre pôle forfait, basé au siège de notre société à Suresnes (92).

En relation avec les équipes R&D de nos clients, vous participerez au développement de logiciels scientifiques et techniques destinés aux secteurs de l'industrie et de l'énergie, dans les domaines: de la simulation, de l'optimisation de procédés, ou de l'analyse de données (mesure et instrumentation, analyse statistique, traitement d'image, ...).

De formation supérieure (ingénieur, master 2, doctorat), vous justifiez d'une première expérience réussie dans le développement de logiciels à forte composante graphique (IHMs, 2D/3D, imagerie) ou numérique (modélisation, simulation, HPC).

Vous maîtrisez la conception et la programmation objet (Java, C++ ou C#) ainsi que l'une des plates-formes de développement suivantes :
- QT 5.x (Windows ou Linux)
- .Net/WPF ou Win32/MFC
- Eclipse/SWT, JFC/Swing ou JavaFX
- Android SDK et NDK

Pour ce poste, un socle de connaissances maths/physique minimum est exigé (niveau écoles préparatoires ou licence 2).

Contrat à durée indéterminée.

Rémunération (fixe) selon profil et expérience.

Envoyez votre candidature à rh@litteral.fr sous référence: IL/1803-2/WB.

Annonce visible à l’adresse www.litteral.com/fr/news.html
Euro Annonce ingénieur logiciel LittéraL - 2018-04_2.pdf (75 KB) 05/16/2018
305 Anonyme (not verified) 217.109.229.251 Yes Industry Energy Trading assistant Maths Internship SEOLIS http://www.seolis.net recurtement@seolis.net NIORT (79) France Au sein de la Division Achat d’Energies et Trading, nous recrutons : 1 Master Ingénierie en Trading / Achats d’énergies en stage ou en alternance (F/H)

Dans le cadre de votre stage ou alternance, votre mission consistera à étudier et proposer des solutions d’achats d’énergies. Ainsi, vos principales activités seront :
- Participer aux études sur les tarifs d’achat d’énergies et proposer des stratégies dans le double objectif d’optimiser la rentabilité de l’entreprise et de sécuriser les approvisionnements ;
- Participer à la construction des outils d’analyse fondamentale des marchés ;
- Participer aux activités de la division, notamment sur la rédaction des contrats d’achats et leur suivi ;
- Assurer la veille juridique sur le secteur de l’énergie.
2018 annonce alternance achats d'énergies DAETv2.pdf (236 KB) 10/31/2018
304 Anonyme (not verified) 88.160.203.245 Yes Industry Data Analyst Both Short Term University Clermont-Auvergne Periscope / Phimeca math.univ-bpclermont.fr/ arnaud.guillin@uca.fr Clermont-Ferrand France Contexte : La mission s’inscrit dans le cadre d'un projet en collaboration entre le Laboratoire de Mathématiques Blaise Pascal, Université Clermont-Auvergne et les entreprises Périscope et Phimeca.
Laboratoire de mathématiques Blaise Pascal : UMR 6620, CNRS, 4 équipes dont l'équipe de probabilités, Analyse et Statistique. http://recherche.math.univ-bpclermont.fr/
Phimeca : proposer des solutions en ingénierie robuste et en fiabilité, en s’appuyant sur un socle scientifique solide : calculs mécaniques, simulation numérique, sureté de fonctionnement et sûreté nucléaire. www.phimeca.com
Periscope : Agence de communication et de marketing dans un monde digitalisé. Agence génératrice d'idées digitales, Créativité par la data, Utilité de marque, Activation business. http://periscope.digital/

Projet Météo-Marketing : Construire des outils permettant d'intégrer la météo-sensibilité dans la stratégie marketing. La personne recrutée participera à l’élaboration de nouveaux modèles permettant d'intégrer météo-sensibilité et/ou stratégies Marketing, à travers une étude des données massives collectées au niveau des clients associés au projet. Projet en Big Data et modélisation.

Mots Clés : Big Data, statistique, marketing, météo-sensibilité.

Profil recherché : Niveau : Bac+5 en statistique (Master 2, ou école d’Ingénieur)

Compétences :
Statistiques : méthodes de datamining, analyse des données, classification, séries temporelles multivariées.
Informatique : maîtrise du logiciel R, python, Penthao souhaitable.
Une connaissance des problématiques Marketing sera un plus.
2500 Euro offredeCDD_0.pdf (215 KB) 06/03/2018
303 Anonyme (not verified) 151.127.30.112 Yes Industry JAVA Software Developer Computer Science Permanent CesGensLaB http://www.cesgenslab.fr recrutement@cesgenslab.fr AUBERVILLIERS France Postes :
CesGensLaB cherche à renforcer son équipe pour développer son activité de développements d'outils de simulation et d'optimisation pour ses clients du monde de l'énergie.

Vous pourrez participer selon les besoins :
• l'analyse des besoins de nos clients
• aux spécifications et à la conception des outils d’aide à la décision aussi bien au niveau des cœurs de calcul que de leur environnement (via des IHM par exemple)
• aux développements
• à la réalisation des tests
• à la mise en exploitation de ces logiciels innovants.


Profils :
Diplômé d’une école d’ingénieur ou de formation universitaire (doctorat notamment), vous possédez une triple compétence : Informatique – Mathématiques - Physique.

Compétences requises :
• Mathématiques Appliquées, Physique
• Expérience du développement en Java et Python

Mais aussi:
• Bon relationnel,
• goût du travail en équipe,
• Rigueur, autonomie,
• Passion !
35 Euro 04/29/2018
302 Anonyme (not verified) 195.68.54.78 Yes Industry Junior Research and Development Scientist M/F Both Permanent Moobifun http://www.moobifun.com/fr nfeuillard@ayming.com Lyon France Located in Lyon, MOOBIFUN is a company that designs and develops software solutions for mobile phone operators. The company operates in twenty-five countries across three continents. MOOBIFUN is also a close-knit team that works in a relaxed and stimulating work environment. We are committed to the "startup" spirit, while acting within a structured and professional framework.

We are hiring and building our team as part of our dedicated international development. We are looking for passionate talents who have the capability to perform analyses on our databases in order to improve understanding of mobile application users behavior. You will contribute to exploit and make usable large sets of data.

Role & Responsibilities:
- Build and create methods and tools for data science (algorithmic, mathematical and computer data processing, etc.);
- Work with data acquisition, formatting and pre-processing;
- Use or develop Machine Learning algorithms: classification, learning, visualization, etc.;
- Working on our customer databases: segmentation, scoring, customer profile, campaign reports for a better customer understanding;
- Data extraction and processing / Production and analysis of results / Recommendations and feedback;
- Definition / Provision of KPIs;
- Work on our intellectual property business;
- Work transversally by ensuring good communication with all our clients.

Essential skills experience required:
You hold a PhD in computer science (first permanent contract only) and have prior experience in the fields of data acquisition and multisources, multiformats analysis. You have a good knowledge of SQL. Proficiency in scripting languages will help you to carry out our projects. Understanding of Elasticsearch and a statistically oriented language would be a plus.

You are able to deliver analyses in a short time and be flexible and adaptable to focus on priorities. You are customer and results-oriented and know how to work transversally. Strong English communication skills are required to work in an international and multicultural work environment.

Please apply by sending your CV to Nicolaï Feuillard: nfeuillard@ayming.com
According to profile Annonce PhD Moobifun en anglais_0.pdf (181 KB) 05/29/2018
301 Anonyme (not verified) 193.50.135.198 No Industry Post-doctoral fellowship in Probability and Statistics for the biology Maths Short Term Université de Lorraine - CHRU Nancy CHRU Nancy http://www. anne.gegout-petit@gegout-petit.fr NANCY France Please Follow this link

http://lue.univ-lorraine.fr/fr/2018/03/27/open-position-post-doctoral-fellowship-in-probability-and-statistics-modeling-simulation-and-estimation-of-telomere-length-dynamics-2/

+- 20 k-euros Euro 06/08/2018
300 Anonyme (not verified) 82.247.184.11 Yes Industry Developer - Heat Transfer Simulations Both Permanent COMSOL France http://www.comsol.com info@comsol.fr Grenoble France All the information in french at: https://www.comsol.com/company/careers/job/3301/

COMSOL France is looking for a physicist, numerician or mathematician applied with numerical simulation skills for the thermal industry to join the Grenoble-based development team. COMSOL is the publisher of COMSOL Multiphysics and COMSOL Server, modeling tools and numerical simulation used in multiple scientific and technical contexts. COMSOL Multiphysics contains a specialized heat transfer module for advanced modeling of phenomena such as conduction, convection, radiation or phase change.
Profile:

Master or PhD equivalent in numerical computation, simulation and modeling. Mastery of the finite element method.
Significant experience in numerical simulation.
In-depth knowledge of theoretical thermal and applications.
Written and oral English essential in the context of an international society.
Autonomy, scientific curiosity, fast learning faculty.
The ability to work in a team.
Prior knowledge of COMSOL Multiphysics is appreciated.

Responsibilities:

Implementation of features in JAVA or other language.
Maintain and improve existing features.
Validation, implementation of tests.
Writing technical specifications for new features for COMSOL Multiphysics.
Writing of the associated documentation.
Creation of examples representing industrially and physically relevant applications.
Support internally or to users.
Presentations and demonstrations of the product.
Occasional trips to France, Europe and the world.

Working environment :

Work in a qualified team in Grenoble interacting with other development teams (Europe, United States, Asia, ...).
Advanced development projects directly involved in the evolution of the software.
Deepening and broadening of knowledge within an exceptional scientific intellectual environment, in contact with different specialists.
Opportunities for evolution with the growth of the company.
Atmosphere of work conducive to personal development.

COMSOL

COMSOL was founded in 1986 in Stockholm. COMSOL's vision is innovative and state-of-the-art. Its 460 members around the world contribute their talents to developing a value-added offer around COMSOL Multiphysics and COMSOL Server software solutions, which are used in all areas of engineering, R & D and teaching.
How to apply?

Send your application file following the instructions below, to the attention of the Human Resources Manager. Incomplete files will not be considered. Do not forget to make it clear:

the coordinates of 2 references
your salary expectations
your availability

A pre-selection on file will be carried out, before possible convocation.


Reference REF-3301
Job title Development Engineer Thermal Simulations (H / F) - Grenoble
leasing Grenoble, France
05/21/2018
299 Anonyme (not verified) 77.75.66.12 Yes Industry Manager Data Scientist Both Permanent Sanofi Pasteur https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Val-de-Reuil/Manager-Data-Scientist_R2443820-1 julien.betton@sanofi.com Val de Reuil France Dans le cadre de la stratégie définie par la Direction Manufacturing Technology (MTech) et Site, garantir la bonne exécution des activités de Data Science de la plateforme MPCS (Modeling & Process Control Strategies) dans le respect des budgets et délais établis. La mission décrite ci-dessus doit s'exercer dans le respect des règles d'hygiène, de sécurité et d'environnement du site.
Garantir un haut niveau de service en support aux activités et besoins des clients internes (autres plateformes MTech, Production et Qualité principalement) en apportant des outils et une expertise méthodologique et/ou statistique :
Développer, maintenir et promouvoir les outils de management de données supportant les analyses de tendances et suivi de robustesse (datawarehouse, interfaces statistiques)
Réaliser les études statistiques avancées nécessaires en support aux activités de production, de contrôle ou aux projets (comparabilité, Continuous Process Verification, études de qualification, plan d’expériences, modèles multivariés, …)
Apporter et promouvoir l'expertise méthodologique en particulier en support aux troubleshooting
Garantir le reporting des indicateurs robustesse et capabilité pour les procédés du site
Collaborer étroitement avec les experts produits, procédés et analytiques du département MTech
Participer au déploiement du Digital 4.0 au sein de Sanofi Pasteur et plus particulièrement sur le site :
Contribuer au projet global APEX de déploiement de solutions informatisées validées pour collecter, organiser et analyser les données de production et de contrôle (gestion de projet transverses)
Promouvoir l'innovation dans les méthodes, les approches ou les outils utilisés en vue d’améliorer la performance industrielle du site et la robustesse des procédés (machine learning, modèles prédictifs, PAT, traitement d’image, etc…)
Assurer une veille technologique en participant à des « community of practices » : groupe de travail statistiques ou mathématiques, participation à des conférences internationales, collaboration avec des universités, etc...
Ingénieur (ou équivalent universitaire) Data Scientist ou spécialisé en mathématiques et/ou statistiques, avec un minimum de 5 ans d'expérience sur un site industriel (pas forcément pharmaceutique).
Forte capacité à travailler en réseau dans un contexte multiculturel. Forte orientation client. Capacité organisationnelle.
Des connaissances en modélisation statistiques, bases de données et en programmation sont indispensables.
Anglais indispensable.
La connaissance des bonnes pratiques de validation des outils informatiques est un plus.
Sanofi s’engage en faveur de l'accueil et de l'intégration des personnes en situation de handicap
05/14/2018
298 Anonyme (not verified) 90.92.35.61 Yes Industry Data Scientist Entry Level (Biostatistics) Both Permanent Detalytics https://www.detalytics.com tkarl.manrique@protonmail.com Paris France Detalytics is a company specialized in the optimization of health and performance
in the workplace (aviation, companies, high-risk industries, etc.). In this sense, we are
developing new models to build state-of-the-art algorithms in the analysis of health data.

Missions:
As part of the Data Science team, the candidate will participate in
English-language reporting and analysis of client data to test new models and learning
algorithms (machine learning). In general, the datasets to be analysed are longitudinal
and chronological series.

Qualifications:
Master degree in Statistics, Data Science, Biostatistics or Applied Mathematics. In
particular, with experience using statistical, pattern recognition and/or machine learning
tools to analyze human biological models (behavior, sleep, metabolism, etc.).
Experience and strong skills in:

• Data manipulation, cleaning and preparation.
• Carrying out statistical modelling projects.
• Use off-the-shelf statistical analytics tools in R (gglot2, dplyr, devtools, shiny, etc.)
and Python (Numpy, Pandas, Scikit-Learn, Tensorflow, etc.).
• Communication and teamwork skills, attentive to details and meticulous..
• Independent worker with a motivation to contribute to cross-disciplines serious
societal problems.
• Language skills: Very good level of French and English (C1 - C2 of CECR).

Please send us your CV and a cover letter.
data_sci_biostat_junior_detalytics.pdf (78 KB) 04/15/2018
297 Anonyme (not verified) 192.109.140.171 Yes Industry Data scientist Both Permanent Saint-Gobain Recherche https://jobs.saint-gobain-experience.com/index.html?languageCd=FRA&JobOpeningId=551735&SiteId=0&PostingSeq=1 loic.letiran@saint-gobain.com Paris, Aubervilliers France https://jobs.saint-gobain-experience.com/index.html?languageCd=FRA&JobOpeningId=551735&SiteId=0&PostingSeq=1

DESCRIPTION DU POSTE

Le Datalab du Groupe Saint-Gobain est une cellule R&D de data scientists au service de l’ensemble des activités du Groupe. Les projets et les types de données sont très divers et visent l’amélioration de la production industrielle (Industry 4.0), le développement des ventes et de la relation client (marketing analytique), l’amélioration des flux logistiques ou la conception de solutions pour l’habitat durable.

Au sein du Datalab, vos principales missions seront les suivantes:
- collaborer avec différents Business Units pour comprendre leur besoin, définir et mener des études de data science sur des problématiques industrielles
- réaliser des analyses de données mettant en œuvre des techniques de machine learning (régression, classification)
- communiquer pour partager au mieux les méthodes et les enjeux de la data science et montrer l’impact sur le business des résultats produits
- réaliser des prototypes d’application, si le besoin se présente
- faire de la veille, proposer de nouvelles approches et méthodes et les partager avec l’équipe
- être garant du cadrage, des propositions, du respect de la maîtrise des délais et des ressources sur les études que vous aurez à mener

Vous possédez de bonnes capacités relationnelles pour mener des projets dans une ambiance collaborative et pour établir des contacts :

- internes au Groupe Saint-Gobain : centres R&D, usines, directions industrielles, marketing, etc.
- externes : laboratoires de recherche, meetup, communautés de data science

Des déplacements de courte durée sont à prévoir en France et à l’étranger, notamment dans les nombreuses usines du groupe.

PROFIL RECHERCHÉ

Doctorat ou diplôme d’ingénieur en Mathématiques Appliquées, grande école ou universitaire, avec une solide formation en machine learning.
- Vous aimez implémenter et coder les idées que vous avez
- Vous aimez explorer et utiliser des algorithmes complexes, mais êtes pragmatique pour appliquer une solution simple si elle a le niveau de performance attendu
- Vous avez une expérience significative en programmation dans au moins 2 de ces langages : Python, R, C++, JavaScript
- Vous avez un niveau d’exigence élevé sur la qualité du code et des modèles que vous développez
- Vous avez une expérience significative avec les outils de versionnement et de tests
- Vous êtes une personne curieuse et dynamique et vous faites spontanément de la veille en machine learning (papiers, méthodologies ou packages)
- Vous voulez appliquer vos savoirs à des problématiques industrielles
- Vous êtes une personne reconnue pour vos capacités de communication, tant à l'écrit qu'à l'oral et savez être force de proposition.

La maîtrise de l’anglais est indispensable.

QUI SOMMES NOUS?

Saint-Gobain Recherche est l’un des huit grands centres de recherche de Saint-Gobain. Basé en région parisienne, ses grands domaines de recherche sont liés au verre, aux couches et revêtements de surface, aux matériaux de construction et à l’habitat en général. Préparer le futur en imaginant les produits et procédés de demain autour de l’habitat, l’énergie et l’environnement, tel est le quotidien de ses équipes de recherche.

Pour en savoir plus : www.saint-gobain-recherche.fr
05/01/2018
296 Anonyme (not verified) 92.169.63.106 Yes Industry PhD Thesis Both PhD Thesis CEA-DAM http://www-instn.cea.fr/formations/formation-par-la-recherche/doctorat/liste-des-sujets-de-these/ ioan.r.ionescu@gmail.com Paris France Modélisation Galerkin discontinue du comportement sous choc de céramiques microfissurées

Contexte :
Les céramiques sont des matériaux de référence pour la conception de solutions de blindage à haut niveau de protection. Les travaux récents ont permis d’améliorer la compréhension des liens unissant la microstructure à la fragmentation des matériaux céramiques (thèse de J.L. Zinszner, soutenue en 2014). Néanmoins, le comportement en compression dynamique et la résistance du milieu fragmenté à la progression du projectile restent décrits par des approches purement phénoménologiques. En effet, les modèles actuels décrivent mal la réponse des céramiques endommagées, ce qui tend à limiter leurs capacités prédictives.
Des travaux de modélisation et de simulation utilisant une formulation Galerkin discontinu sont menés au LSPM depuis plusieurs années pour étudier le comportement dynamique de matériaux fragiles contenant des microfissures (thèse de Q. Gomez, soutenue en 2017).
Objectif de la thèse :
L’objectif de la thèse consiste à améliorer la connaissance des mécanismes pilotant le comportement en compression de milieux microfissurés. Dans ce but, des simulations numériques seront conduites en considérant explicitement une ou plusieurs populations de microfissures. Ces simulations en champ complet permettront de mieux appréhender l’influence des paramètres microstructuraux sur la réponse de céramiques en compression dynamique.
Les conclusions tirées de l’analyse en champ complet permettront de proposer et de calibrer un modèle micromécanique homogénéisant les principaux mécanismes activés en compression dynamique.
Déroulement de la thèse :
Le projet de thèse comprendra plusieurs étapes mêlant modélisation, simulations numériques et expérimentations :
1. Il s’agira tout d’abord de mener une analyse critique des travaux de la littérature étudiant expérimentalement, par la modélisation ou par la simulation le comportement sous choc de milieux multi-fissurés,
2. Modélisation et simulation par une formulation Galerkin discontinu de milieux élastiques contenant des populations de microfissures, ces simulations permettront d’identifier l’influence de paramètres microstructuraux sur la réponse dynamique d’une céramique,
3. En s’appuyant sur les résultats précédents, il s’agira de développer et de valider un modèle micromécanique pour le comportement des céramiques microfissurées sous choc,
4. En parallèle, une ou plusieurs configurations expérimentales originales seront dimensionnées pour étudier la réponse sous choc de matériaux céramiques à différents niveaux de microfissuration.
Directeur de thèse et école doctorale : Prof. Ioan IONESCU, LSPM, Université Paris 13 Sorbonne-Paris-Cité
Contact : Benjamin ERZAR, benjamin.erzar@cea.fr – CEA/DAM/Gramat - 05 65 10 54 32
These2018_Ceramique_OK.docx (38 KB) 06/30/2018
295 Anonyme (not verified) 193.194.132.74 Yes Industry PhD position in Autonomous Driving Maths PhD Thesis Renault http://www.renault.com anh-lam.do@renault.com Guyancourt France -- Context--
Whether the driver is real or virtual (autonomous vehicle), the robotic management of emergencies is a problematic with multiple stakes. Among the various questions posed by the elaboration and execution of these emergency maneuvers, we can consider:
• Is the driver reasonably able to handle the situation alone?
• If a robotic action is envisaged, are the risk levels and their associated seriousness acceptable to the stakeholders (drivers, passengers, other actors of the scene, constructor, legislator...)?
In this context, the international organization EuroNCAP provides homologation scenarios requiring high performance driver assistance systems, while being adapted to the technical limitations of current perception systems and actuators. To date, active safety protocols have been evaluating AEB (Autonomous Emergency Braking) and Lane Keeping Assist (LKA) separately. This maneuver restriction is adapted to a frontal perception of the obstacles / lines resulting from a radar / camera data fusion. By projecting in the near future, a more robust 360° perception of the scene (objects and infrastructure) opens the door to more complex, more dynamic and more secure maneuvers thanks to the simultaneous control of 2 or 3 actuators (steering, accelerator, brake) (AES: Automatic Emergency Steering).

--Objectives--
The thesis, proposed in the framework of CIFRE PhD project in partnership between RENAULT and CHROMA Team (INRIA-Grenoble), aims to develop these onboard optimization algorithms for emergency trajectory using steering and braking (normal or differential) systems. In response to the two questions mentioned above, optimal trajectories minimizing the criticality of the risks will be calculated by optimizing a complex cost function under constraints (environment, vehicle dynamics and actuator saturation).
The provided input data are: a dynamic probabilistic occupancy grid of the space and infrastructure data, the vehicle constraints (actuator saturation, handling limitations…).
The expected outputs are: a steering wheel angle and a braking torque references. To do this, two optimization problems must be solved under constraints:
• Path planning: a tactical level trajectory (typically 3sec horizon) will be calculated for later use by the longitudinal and lateral controllers.
• Path following: steering angle and braking torque references will be optimized to achieve the trajectory from the previous step.
The integration of path planning and following problems in a single optimization problem is possible to obtain the best solutions.*

--Candidate profile--
Candidate should have good background in statistics, mathematics, control theory, optimization and programming (Python, C/C++, Matlab/Simulink). Experience with vehicle dynamics modeling and control is a plus. Good English level is required as well.

2500 Euro CIFRE_AES_PhD_Proposition_ev.pdf (181 KB) 12/01/2018
294 Anonyme (not verified) 109.190.6.40 Yes Industry Full Stack Developer / Software Design Specialist Both Permanent TerrOïko http://www.terroiko.fr contact@terroiko.fr Sorèze France We are currently offering an opportunity for a new Full Stack Developer / software architect to join us, in TerrOïko, compagny specialised in development of new technologies of numerical modelisation and picture treatment, applied on ecological engineering.

TerrOïko is a young compagny, focused on innovation and research and development, created by two ecology PHD's. Nowadays, the team is composed of 6 members, our vocation is to simplify and allow the technology transef, from the research world to the biodiversity management sphere.

The conception of our products and services rely upon the work led by our research and development division, in order to insure their adaptation for biodiversity actors demand's and to insure the constant improvement of their projects as well as their control of costs and deadlines. The first innovation placed on the market is SimOïko, our biodiversity simulation platform (www.simoiko.fr). The ecological consulting division provide in-house technical solutions when the client's problematics reveal themselves too complex for what the version they're using is able to handle. We also offer new ecological engineering methods training.

These offer represent a full time job, in Soreze (81, FRANCE), starting as soon as possible. Fluent French is requested.
offre_developpeur.pdf (315 KB) 07/01/2018
293 Anonyme (not verified) 165.225.76.176 Yes Industry Researcher Both Permanent CGG http://www.cgg.com barbara.iglesias@cgg.com Massy France CGG (http://www.cgg.com/) is a fully integrated Geoscience company providing leading geological, geophysical and reservoir capabilities to its broad base of customers primarily from the global oil and gas industry.

Through its three complementary business divisions of Equipment, Acquisition and Geology, Geophysics & Reservoir (GGR), CGG brings value across all aspects of natural resource exploration and exploitation.

CGG employs 6,000 people around the world, all with a Passion for Geoscience and working together to deliver the best solutions to its customers.

This position, as part of the CGG Subsurface Imaging Research organization, is responsible and accountable for developing, implementing, testing, and supporting new algorithms to improve imaging of the subsurface for the oil and gas industry.

Reporting to Research advisor or above, the Researcher will:
• Develop algorithms to solve a specified geophysical problem.
• Validate the algorithm on synthetic and real data to assess the strengths and weaknesses of the proposed approach.
• Support the porting of those algorithms on Subsurface Imaging HPC infrastructure by providing algorithmic and mathematical expertise on them.
• Support rollout of new technology through internal presentations and user support.
• Promote use of new technology to clients through scientific publications and presentations.
• Keep informed of internal requirements by building close relationships with the seismic imaging operations.
• Develop knowledge by reading academic publications, attending technical presentations, workshops, conferences, seminars.

Required Education & Experience:
• Strong maths skills are essential, as you must be capable of abstracting geophysical concepts with mathematical languages.
• Analytical and problem solving abilities, great attention to detail.
• Coding skills are also essential for this role, particularly FORTRAN or C/C++.
• Exposure to high performance computing (parallel programming, GPGPU).
• Effective communication & presentation skills.
• Highly motivated to deal with real data, solve problems and deliver high end technological products.
• Proficient in FORTRAN, C/C++ and parallel programming.
• Possess software engineering skills

• Fluent English - both spoken and written.

• Knowledge of seismic processing/imaging, is a plus
• Experience in wave propagation, inversion, or strong signal processing background is a plus.

Typical profile: M.S. degree with at least 3 years of successful research experience, PhD, school of engineering with background in Geophysics, Physics, Mathematics, Electrical Engineering or any other related technical degree.
• Must be able to apply advanced mathematical operations and understand the underlying geophysical concepts
• Ability to interface with production and to share knowledge
Euro 04/22/2018
292 Anonyme (not verified) 193.104.162.7 No Industry Internship : Modelisation methods for public transportation demand Maths Internship RATP http://www.ratp.fr charlotte.derome@ratp.fr Paris France Stagiaire méthodes de modélisation des déplacements de voyageurs (F/H)

Cinquième opérateur mondial de transport urbain, la RATP est une entreprise « intégrée » : elle assure ainsi
l’ingénierie, l’exploitation et la maintenance de l’ensemble des matériels, systèmes, infrastructures et espaces
de transport urbain.
Le département Etudes générales, Développement et Territoires (EDT) contribue à la croissance du Groupe
RATP par l’élaboration d’une vision stratégique du développement des futurs réseaux et connexions,
notamment par son rôle d’interface avec les acteurs territoriaux.
Au sein du département, l’unité Etudes, Stratégies et Modélisation (ESM) réalise des études de planification et
des prévisions de trafic à l’aide de son outil de modélisation GLOBAL. Elle contribue à des études de décisions
stratégiques grâce à un deuxième outil de modélisation nommé IMPACT. GLOBAL est un modèle agrégé à 4
étapes, IMPACT est un modèle désagrégé.


Ambition du projet :

Dans un souci d’amélioration continue de compréhension des problématiques de mobilité, l’unité ESM
souhaiterait améliorer sa capacité à estimer les flux au niveau des bus en Ile-de-France. Sa modélisation est en
effet délicate dans le contexte francilien et particulièrement dans la zone agglomérée de par le rôle secondaire
du réseau bus par rapport aux modes lourds, les volumes de déplacements concernés et la difficulté de
modéliser des flux à une échelle aussi fine au regard des données d’observation des comportements de mobilité
disponibles. Le projet vise à faire avancer nos méthodes de modélisation des flux sur un groupe de lignes de bus
à la journée et à l’année, identifier des axes de développement d’un outil permettant ce type de modélisation
et initier le travail de développement.
Pour participer à ce projet, au sein du département EDT, le pôle Mobilité de l’unité Etudes, Stratégies et
Modélisation recherche un(e) stagiaire niveau Master 1 ou 2, en école d’ingénieur ou université, pour une
durée de 5 à 6 mois, au cours de l’année 2018.


Missions du stage :

Le projet serait constitué des missions suivantes, articulées en trois phases :
* Travail préliminaire
Recherche bibliographique et analyse de l’état de l’art en termes de modélisation des bus dans des zones
agglomérées denses dotées d’une desserte importante en modes lourds.

* Evaluation des outils
Evaluation de la capacité des outils du groupe RATP à correctement reconstituer la charge des bus.

* Approche data science
Inventaire des données dont nous disposons qui pourraient servir à construire un modèle de prévisions de la
demande sur les bus. Création d’une base de données.
Recherche et tests de modèles permettant d’estimer la demande. Recherche de ce qu’il est possible de
modéliser de façon fiable :
- serpent de charge ? Utilisations ?
- heure de pointe ? journée ? année ?
- par ligne ? pour un groupe de lignes ?
Ces modèles seraient de type économétrique. Les variables explicatives seraient liées aux territoires (données
socio-économiques) et à la qualité de desserte par mode lourd (indicateurs caractérisant la qualité du niveau de
desserte offert par les lignes du réseau ferré).

Connaissances et compétences requises :
Statistiques et économétrie
Economie des transports
Langage de programmation orienté statistiques (R, Python, SAS)
Connaissances en analyse de données de masse
Curiosité et créativité
Organisation, rigueur et méthode

03/31/2018
291 Anonyme (not verified) 193.144.81.195 Yes Industry Researcher for the ROMSOC Project Both PhD Thesis ITMATI 11 industrial partners http://www.itmati.com/en itmati@itmati.com Santiago de Compostela Spain JOB OFFER: ITMATI-OT-04/2018/ROMSOC-ESR08: Open Early Stage Researcher/PhD Position at ITMATI (ROMSOC project)

PROJECT: European Innovative Training Network Reduced Order Modelling, Simulation and Optimization of Coupled systems (ROMSOC).

TYPE OF PROJECT: The ROMSOC project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie-Skłodowska-Curie grant agreement No 765374.

OBJECTIVES OF PROJECT: ROMSOC is a European Industrial Doctorate (EID) project in the programme Innovative Training Networks (ITN) and part of Marie Skłodowska Curie Actions within the Horizon 2020 programme.

The ROMSOC EID Network brings together 15 international academic institutions and 11 industry partners and supports the recruitment of eleven Early Stage Researchers (ESRs). Each ESR will be working on an individual research project in the host institution with secondments related to their research in other academic and industrial partners of the network. The research is focused on three major topics: coupling methods, model reduction methods, and optimization methods, for industrial applications in well selected areas, such as optical and electronic systems, economic processes, and materials. The ROMSOC EID Network offers a unique research environment, where leading academics and innovative industries will integrate ESRs into their research teams for the training period, providing an excellent structured training programme in modelling, simulation and optimization of whole products and processes.

JOB OFFER REFERENCE: ITMATI-OT-04/2018/ROMSOC-ESR08.

CALL: Open Early Stage Researcher/PhD Position at Consorcio Instituto Tecnolóxico de Matemática Industrial (ITMATI), Santiago de Compostela, Spain.

DESCRIPTION OF JOB POSITION: 1 full-time contract for 36 months as PhD position for the ROMSOC project, ESR-08. The PhD degree will be awarded by University of Santiago de Compostela, Spain.

WORKING TITLE: Efficient Computational strategies for complex coupled flow, thermal and structural phenomena in parametrized settings.

WORKING OBJECTIVES: Present and future efforts in simulation-based sciences are dedicated to hierarchies of complex multi-physics problems, as well as parameterized systems characterized by multiple spatial and temporal scales. New ROM methodologies are required for coupled and parameterized problems in industrial and medical sciences. This concerns in particular fluid-structure interactions and thermo-fluid-dynamics and the use of these reduced models for Fluid-thermal phenomena.
Objectives:

The numerical simulation of the evolution of the fluid will be carried out using a turbulence and multi-phase model. A transport passive scalar phenomenon will also be modelled in the problem.
Modelling and simulation of 3D thermal-fluid-structure phenomena.
Numerical simulation will be performed on free or commercial software packages of proven quality.
Reduced order modelling (computational, geometrical and parametric) for hierarchies of coupled multi-physics problems.
Construction of test cases and carrying out numerical experiments.

Expected Results:

New model reduction methods for coupled systems of fluid-structure interactions and thermo-fluid-dynamics.
Error estimators for such coupled systems.
Computational model reduction software.


PRINCIPAL INVESTIGATOR: Dr Peregrina Quintela Estévez (Primary Supervisor), Professor of Applied Mathematics of the University of Santiago de Compostela and affiliated researcher of ITMATI.

CANDIDATES PROFILE: Master degree (or equivalent) in Mathematics, Mathematical, Aeronautical, Mechanical, Civil, Nuclear Engineering, Scientific Computing or other related disciplines. We seek excellent open-minded and team-spirited PhD candidates who will get unique international, interdisciplinary and inter-sectoral training in scientific and transferable skills by distinguished leaders from academia and industry.

ELEGIBILITY: The candidate recruited in the ROMSOC project must be in the first four years from the date when the candidate obtained the degree entitling him or her to embark on a doctorate (e.g. master degree). No doctoral degree has been awarded during these four years. The candidate must not have resided or carried out her/his main activity (work, studies, etc.) in the host country for more than 12 months in the 3 years immediately prior to the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. The candidate must work exclusively for the project during the employment contract. The candidate must fulfil the conditions to be admitted in the PhD programme indicated in the job vacancy. Tuition fees will be covered by the fellowship. These conditions must be fulfilled at the starting date of the contract. The starting date for each position is tentative. More details can be found in the Guide for Applicants to the H2020 Programme Marie Skłodowska-Curie Actions - Innovative Training Networks (ITN).


REQUIREMENTS:

Experience in numerical solution of differential equations, tensor analysis, and model order reduction.
Programming skills in object oriented languages as well as Python/Matlab.
Strong interest in interdisciplinary scientific work.
Ability to work independently and as part of a team.
Strong motivation to pursue a PhD degree.
Preferred qualifications include excellent grades, research talent (as proven by the master thesis), affinity with mathematical modelling and simulation in engineering applications, and personal ambition.
Excellent command of English, together with good academic writing and presentation skills.


MERITS AND REQUIREMENTS TO BE ASSESSED:

Training according candidates profile and requirements: 40 points, all contributions must be documented.
Knowledge and specific experience according requirements: 35 points, all contributions must be documented.
Personal interview: 25 points. Candidates achieving the best assessments according to the above criteria will be called to a personal interview in which letters of recommendation to their application will be considered. At least the three most highly valued candidates will be interviewed.

WORKPLACE: Technological Institute for Industrial Mathematics (ITMATI), Campus Vida of the Universidade de Santiago de Compostela, Santiago de Compostela (Spain). The PhD candidate will spend secondments for technical and scientific training at Danieli Officine Meccaniche SPA (Italy) and SISSA, International School for Advanced Studies, Trieste (Italy).


SUBMISSION OF APPLICATIONS:
People interested in this contract must send their applications by March 18, 2018. Application should include a motivation letter, a cover letter summarizing the applicant's career (general training and experience to be assessed, as well as additional merits referred to in the call), a detailed CV (with mobile phone and email), certificates, list of MSc courses and grades, copy of the master thesis, letters of recommendation to their application, etc. Applicants, that apply for more than one individual research project of the European Innovative Training Network ROMSOC, should indicate the order of preference (e.g. 1st, 2nd and 3rd choice).
To ensure the equality of opportunities we strongly encourage women with the appropriate qualifications to apply. If equally qualified, handicapped applicants will be preferred.
All documentation must be sent to the following email address itmati@itmati.com, indicating the job offer reference ITMATI-OT-19/2017/ROMSOC-ESR08 in the "subject" of the email. The receipt of requests will be confirmed by email.


DEADLINES AND RESOLUTION:

Reception of applications: until March 18, 2018.
Evaluation of applications and personal interviews: from 19th to 28th March 2018.
Resolution of the call: March 2018.
Euro job_offer_itmati-ot-04-2018-romsoc-esr08_eng.pdf_asinado.pdf (438 KB) 03/18/2018
290 Anonyme (not verified) 129.104.100.202 Yes Industry Finite element modeling of a leaky hydraulic coupling with O-ring seal Both Internship Airthium http://www.airthium.com/ contact@airthium.com Palaiseau France Applicant profile

You are a Master 2 student majoring in mathematics, applied mathematics, or computer science.
You have outstanding skills at finite element modeling (FEM), and have implemented or at
least used such models yourself in the past. You also have good C, C++ programming skills;
optionally, you have good Linux sysadmin skills.

Internship subject

Using the FreeFEM++ tool, you will create a 2D axisymmetric model of a hydraulic coupling.
This model will include two metal parts corresponding to the hydraulic connectors, as well as
a toroidal elastomeric o-ring seal in-between them, and the fluid itself. The three solid parts will
be in solid contact with friction, and subject to linear elastic deformation. When the fluid
pressure will be high enough, the fluid will separate the seal from one of the metal parts and
infiltrate the gap, until it flows to the outside of the coupling.
Attaining the deepest level of understanding of this phenomenon, as well as of its correct
modeling by finite elements, will be the main task of the internship. Despite its apparent
simplicity, this is a difficult problem, and exploring it will help you gain solid fundamental and
practical knowledge of the field of finite element modeling.

Context

You will be part of the Airthium Modeling team. You will work under direct supervision of the
head of numerical modeling, with regular contact with the CTO/CSO, and you may interact
with professors from the Jacques Louis Lions Laboratory (LJLL) of the UPMC University. Our
offices are located at the Ecole Polytechnique in Palaiseau (RER B Station Massy Palaiseau).
Airthium is a startup making novel electricity storage modules based on heat at an extremely
low cost. Those modules will store the excess solar and wind energy produced in unreliable
grids (islands, developing countries) or where conventional generation cannot compensate a
large share of renewables in the energy mix. It will then deliver the energy when it is needed.

Apply

Send your C.V. with cover letter to contact@airthium.com. Possibility of continuing the work
in PhD, in association with the LJLL lab at the UPMC.
Euro Internship at Airthium - Fluid-structure with mechanical contacts_2.pdf (80 KB) 06/15/2018
289 Anonyme (not verified) 143.50.47.142 No Industry University Assistant with doctorate Maths Short Term University of Graz / Institute of Mathematics and Scientific Computing https://www.uni-graz.at/en/ bewerbung@uni-graz.at Graz Austria With its 4,300 employees and 32,500 students, the University of Graz provides an exciting and varied work environment. Given our expertise in research and teaching, we are a central institution in Styria.

The Institute of Mathematics and Scientific Computing is looking for an
University Assistant with doctorate
(40 hours a week; fixed-term employment for the period of 6 years; position to be filled as of now )

Your duties
* Research in the field of stochastics with emphasis on stochastic simulation and numerical stochastic analysis
* Collaboration in interdisciplinary cooperation projects and third-party funded projects
* Independent teaching of courses in the field of stochastics, supervision of students and holding of exams
* Participation in organizational and administrative matters

Your profile
* Doctoral degree in a mathematical branch of study
* Solid knowledge of stochastic simulation and numerical stochastic analysis
* Good programming skills
* Ability for integration into the institute’s research profile and in particular into interdisciplinary cooperation projects
* Capacity for teamwork, organizational talent and ability to communicate
* Ability to teach in german language


Our offer

Classification
Salary scheme of the Universitäten-KV (University Collective Agreement): B1

Minimum salary
The minimum salary as stated in the collective agreement and according to the classification scheme is EUR 3711.10 gross/month. This minimum salary may be higher due to previous employment periods eligible for inclusion and other earnings and remunerations.

Application Deadline: February 21st 2018
Reference Number: MB/27/99 ex 2017/18

The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply.
Especially with regard to academic staff, we welcome applications from persons with disabilities who meet the requirements of the advertised position.

If you are interested, please submit your application documents within the stated deadline to:
bewerbung@uni-graz.at
Karl-Franzens-Universität Graz
Personalressort
Universitätsplatz 3
8010 Graz
Euro UnivAssDrEN.pdf (137 KB) 02/21/2018
288 Anonyme (not verified) 188.230.231.209 No Industry Optimisation of multivariate stochastic heterogeneous systems Computer Science Short Term InnoRenew CoE http://www.innorenew.eu coe@innorenew.eu Izola Slovenia Position Announcement:
The InnoRenew CoE is seeking a well-qualified individual to work on optimization of multivariate stochastic heterogeneous systems.
Tasks:
The emphasis of this position is on the development of procedures and code for optimization of hybrid, modular buildings using various criteria such as modularity, mass, energy efficiency, construction speed and costs, and sustainability. The project will focus on development of a decision tool that will allow consideration of multiple criteria and uncertainties of various input parameters and data.
Required expertise and skills:
The ideal candidate will have an advanced degree in computer science or civil engineering with good mathematical skills and a programming background (Matlab or similar) and the ability to learn and work independently in a team environment. Experience in Matlab programming is a must. Further requirements include: good communication skills, ability interact with the industry and other researchers, ability to formulate and communicate new research ideas (research proposal preparation), ability to work independently.
What we offer:
This position will be within the newly established InnoRenew CoE which is focused on renewable materials use in sustainable built environments. The InnoRenew CoE was established based on a flagship project funded by the European Commission and the Republic of Slovenia.
• 1 year contract with option for renewal
• Competitive salary with possible performance-based raises
• Opportunity to work on a prestigious H2020 project
The tasks will be performed in close cooperation with Fraunhofer WKI, Germany and the Fraunhofer Center for light, environmentally friendly structures.
How to apply:
Interested applicants should send:
- curriculum vitae
- motivation letter for this position
- Summary of previous research experience
- Certified copy of master´s and/or doctoral degree certificate and official transcript of records, and their translations, if the originals are not in English.
All materials should be in English and submitted in PDF format no later than 25 February 2018.

For any additional information you can contact us by email: coe@innorenew.eu. For further information about the research topic please contact Associate Professor Andreja Kutnar (andreja.kutnar@innorenew.eu).

Review of applications will begin immediately and continue until the position is filled.
Employment opportunities, admissions policies, activities, services, and the facilities of the InnoRenew CoE do not exclude any person on the basis of race, color, age, sex, religion, national origin, or disability.
The InnoRenew CoE reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.
2000-2500 Euro 02/25/2018
287 Sampayo 193.144.81.195 Yes Industry Researcher Maths Short Term ITMATI Yes, Energy Company http://www.itmati..com itmati@itmati.com Vigo (Pontevedra) Spain We send you the job offer call ITMATI-OT-02/2018 for the hiring of a researcher for the project "Study to establish the distribution of statistics on the measurements of errors of solar collectors"



REFERENCE OF THE OFFER: ITMATI-OT-02/2018.



TITLE OF THE ACTIVITY: "Study to establish the distribution of statistics in the measurements of errors of solar collectors".



DESCRIPTION OF THE POSITION: 1 full-time contract as a researcher for the aforementioned project, within the framework of a contract between ITMATI (Technological Institute of Industrial Mathematics) and a company in the energy sector.

The candidate / has selected should develop a line of research related to the methodological development in the area of ​​quality control based on several measurements that may be correlated. In this context new methods will be proposed that will be studied from a theoretical point of view and / or validated by simulation studies. Finally, its operation will be verified in the real problem that this project addresses.



MAIN RESEARCHER: Professor Dr. Javier Roca Pardiñas, Professor at the University of the University of Vigo, and researcher assigned to ITMATI.



PROFILES OF THE CANDIDATES: Graduates, graduates, engineers, masters and doctors in Mathematics, Statistics or other similar qualifications, with knowledge in methodology and statistical computing.



MERITS AND REQUIREMENTS TO BE VALUED:

* Training and general experience to assess (60 points, all contributions must be documented).

o Academic record of the degree, undergraduate, engineering, master's and / or doctorate.

o Specific training (degree, bachelor's degree, master's degree, etc.) in the area of ​​Statistics and Operations Research.

o Research experience endorsed by relevant publications in journals in the area of ​​Statistics.

o Knowledge and previous experience in the development of statistical algorithms.

o Knowledge and previous experience in the use of statistical software R.

o Knowledge of English.

* Knowledge and additional and specific experience to assess (25 points, all contributions must be documented).

o Knowledge and previous experience in methodological developments related to quality control.

o Experience in methodological implementation and statistical software.

* Personal interview (15 points).

Candidates who achieve the best ratings according to the above criteria will be invited to a personal interview. At least the three best rated candidates will be interviewed.



WORKS TO REALIZE:

* Methodological development in the area of ​​quality control for correlated measurements.

* Theoretical study of the methods developed.

* Validation of the methods through simulation studies.



PLACE OF WORK: Faculty of Economic and Business Sciences, Campus Lagoas-Marcosende of the University of Vigo, Vigo (Spain).



SUBMISSION OF APPLICATIONS:

Those interested in this contract must send their application before February 5, 2018 at 2:00 p.m., which must include a cover letter that summarizes the trajectory of the applicant (with the training and general experience to be assessed, as well as the additional merits that are valued in the call), a curriculum vitae (with mobile phone and email), and the title and academic record of degree, undergraduate, engineering, master's and / or doctorate. If the candidates consider it appropriate, they can also attach letters of recommendation to their request.

All the documentation will be sent to the following e-mail address itmati@itmati.com, indicating in "subject" the reference of the offer ITMATI-OT-02/2018. Once the request is received, the reception of the request will be confirmed by email.



MORE INFORMATION: In the call (attached document) and on the ITMATI website at ITMATI-OT-02/2017
1.710€/month Euro Oferta Trabajo ITMATI-OT-02-2018_ESP.pdf_asinado.pdf (365 KB) 02/05/2018
286 Anonyme (not verified) 147.99.27.199 Academia
285 Anonyme (not verified) 147.99.27.199 Academia
284 Anonyme (not verified) 165.225.76.100 No Industry Stage étude benchmark technico-économique HPC/GPU Both Internship VEOLIA http://www.veolia.com yannick.deleuze@veolia.com Maisons Laffitte France Dans le Département d’Innovation Numérique, autour de projets qui vont avoir des besoins en calcul importants, nous voudrions mener une étude technico-économique rapide sur les solutions HPC sur des services de type cloud computing. En particulier, avec les tâches d'apprentissage de réseau de neurones ou pour de la simulation CFD, il peut y avoir de gros jobs à lancer de manière plus ou moins récurrente. Euro Offre_de_stage_MOD_HPC_GPU_YDE.pdf (78 KB) 06/15/2018
283 Anonyme (not verified) 77.196.146.42 No Industry Test Maths Permanent AMIES http://www.agence-maths-entreprises.fr/a/ veronique.maume-deschamps@agence-maths-entreprises.fr Grenoble France This is a test in order to understand who receives these announcements. Please let me know if you receive this message (veronique.maume-deschamps@agence-maths-entreprises.fr). Thanks!
Véronique.
03/19/2018
282 Sampayo 193.144.81.195 Yes Industry Researcher for project "Critical emergency missions with manned and unmanned aerial means in cooperative flight" Both Short Term ITMATI company in the ICT sector http://www.itmati.com/ itmati@itmati.com Santiago de Compostela Spain Researcher for project "Critical emergency missions with manned and unmanned aerial means in cooperative flight"



REFERENCE OF THE OFFER: ITMATI-OT-01/2018



TITLE OF THE ACTIVITY: "Critical emergency missions with manned and unmanned aerial means in cooperative flight".



DESCRIPTION OF THE POSITION: Development of different expert systems in the decision making for the advanced control of trajectories for the cooperative operation between manned and unmanned aircraft, in the characterization of the territory and in the efficiency of the discharge operations in the fight against fires forestry, in the framework of the contract between ITMATI (Technological Institute of Industrial Mathematics) and a company in the ICT sector.



MAIN INVESTIGATORS: Prof. Dr. Wenceslao González Manteiga.



CANDIDATE PROFILE: Bachelor / Graduate / Master / Doctor of Mathematics, Statistics, Computing or Engineering.

TRAINING AND GENERAL MERITS TO BE VALUED (40 points, all contributions must be documented).

* Academic record of the degree or degree.

* Academic record of the master in the field of Statistics, Industrial Mathematics or similar and doctorate.

* English skills.



SPECIFIC MERITS TO BE VALUED (35 points, all contributions must be documented).

When evaluating the submitted applications, experience in some of the following fields related to the research areas of the Project will also be taken into account, and it is not necessary to have experience in all of them:



* Previous experience in statistical modeling related to the theme of the project.

* Previous experience in analysis and programming of mathematical algorithms.

* Programming language R and Python.

* Knowledge of databases, especially postGIS

* Knowledge in GIS, in particular QGIS and PyQGIS



PERSONAL INTERVIEW (25 Points)

Candidates selected according to the above criteria will be invited to a personal interview. At least the three best rated candidates will be interviewed.





WORKS TO REALIZE

* Development of mathematical mathematical algorithms using georeferenced data:

or for decision making in relation to air traffic control.

or for the characterization and classification of the territory with LIDAR / Mult / IR sensors.

or that measure efficiency and effectiveness in firefighting operations.





SUBMISSION OF APPLICATIONS

Those interested in these contracts must send the applications before January 15, 2018 at 2:00 p.m., which must include a cover letter that summarizes the trajectory of the applicant with the training and general methods to be evaluated as well as the additional experiences which requires the call, curriculum vitae (with mobile phone and email) and the academic records of Degree / Bachelor / Engineering, Master. If the candidates deem it appropriate, they can also attach letters of recommendation to their request. All the documentation will be sent to the following email address: itmati@itmati.com indicating in "subject" the reference of the offer.



Once the applications have been received, they will be confirmed by email.



MORE INFORMATION: In the attached document and on the ITMATI website at ITMATI-OT-01/2018
Oferta Trabajo ITMATI-OT-01-2018_ESP_DEF.pdf_asinado_0.pdf (388 KB) 01/15/2018
281 Anonyme (not verified) 193.1.100.65 No Industry Professor of Applied Mathematics Maths Permanent University of Limerick http://www.ul.ie/hrvacancies/ sarah.mitchell@ul.ie Limerick Ireland TITLE OF POST: Professor of Applied Mathematics.

LOCATION: University of Limerick

SALARY SCALE: €114,740 - €140,961 p.a.

JOB DESCRIPTION

QUALIFICATIONS:

Doctoral degree (level 10NFQ) in a relevant discipline
OVERALL PURPOSE OF THE JOB:

Teaching, research and academic leadership in Applied Mathematics.

DESCRIPTION:

We are seeking to appoint a Professor of Applied Mathematics in the Department of Mathematics and Statistics. This department is responsible for teaching at all levels across the University and also has a thriving research programme. In November 2015 the department was granted an Athena SWAN Bronze award, reflecting its commitment to addressing gender equality.

Applications are invited from leading researchers in any of the following subfields of Applied Mathematics: mechanics, fluid mechanics, thermodynamics, mathematical geophysics, complex networks, numerical analysis, mathematical biology, game theory, probability theory and systems theory.

A commitment to collaborative research with departments and research centres across the University of Limerick is desirable. The Mathematics Applications Consortium for Science and Industry (MACSI) is a research centre based in the department which applies mathematics to diverse real-world problems. Recent examples of MACSI projects include the modelling of moisture absorption on a silicon chip, information diffusion on Twitter-like networks, and valve wear in an alumina refinery. MACSI also works closely with research centres within UL, such as the new smart manufacturing SFI funded centre Confirm, the Dairy Processing Technology Centre (DPTC), the Pharmaceutical Manufacturing Technology Centre (PMTC) and the Synthesis and Solid State Pharmaceutical Centre (SSPC). Other collaborative opportunities within the University include the Bernal Institute, Lero and health-related departments.  Further application areas of interest to the University are outlined in its strategic plan, Broadening Horizons 2015-19.

Research areas of particular strength in the department include mathematical modelling, fluid mechanics, complex systems, differential equations, numerical analysis, inverse problems, optimisation, stochastic dynamics, financial mathematics and statistics.

The successful candidate will have a doctoral degree (level 10NFQ) in a relevant discipline, an international research reputation and a significant publication record. A record of achieving research funding and leading a research group is desirable, as is experience of working in collaborative and interdisciplinary projects. The successful candidate should also demonstrate interest and experience in teaching at undergraduate and postgraduate levels.

 Essential Criteria:

Doctoral degree (level 10NFQ) in a relevant discipline
Post doctoral experience in research, industry or academia
A significant track record in research and publication in a relevant area of Applied Mathematics
Submission of a statement of research plans (maximum 2 pages) and a statement of teaching experience and interests (maximum 2 pages)
Desirable Criteria:

A commitment to collaborative research with departments and research centres across the University, in particular MACSI
Experience in teaching at undergraduate or postgraduate levels
A record of obtaining competitive research funding
Evidence of academic leadership in Applied Mathematics
A track record of academic/industrial collaboration and/or realising industry funding
 Informal enquiries regarding the post may be directed to:
Dr Sarah Mitchell
Head
Department of Mathematics & Statistics
University of Limerick
Email: sarah.mitchell@ul.ie

Apply via the HR website http://www.ul.ie/hrvacancies/

[youtube https://www.youtube.com/watch?v=Vg789B23vxU&w=560&h=315]
€114,740 - €140,961 Euro 03/09/2018
280 Anonyme (not verified) 130.120.226.7 Yes Industry [Intership] Development of optimization algorithms for product diversity management in automotive electrical harness design Both Internship Leoni Wiring Systems France http://www.leoni-france.com/fr/leoni-en-france/ nicolas.couellan@leoni.com Toulouse France See attached .pdf file StageDiversite_2.pdf (47 KB) 02/28/2018

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