Assistant professor in mathematics applied to data science

When:
30/04/2019 – 01/05/2019 all-day
2019-04-30T02:00:00+02:00
2019-05-01T02:00:00+02:00

Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : Mines Saint-Etienne
Durée : permanent
Contact : leriche@emse.fr
Date limite de publication : 2019-04-30

Contexte :
The Applied Mathematics Department of Mines Saint-Etienne carries out research related to models for decision and in particular probability, statistics, optimization and operational research.

Sujet :
The Department offers a permanent position to an applied mathematician who will contribute to one or many of the following 3 research themes:
– The statistical modeling (meta-modeling) of expensive data where some inputs are discrete, others continuous. Such data occurs in the context of real experiments or high-fidelity computer codes.
– Bayesian and other probabilistic approaches to solve inverse problems. New methods are needed in particular when input or output data are functional (typically of time or space). The high dimensionality of the parameters is a salient feature of such problems.
– The optimization of non-linear systems in high dimension. The methods to be developed should target global optima and be robust to parameters uncertainties.

The teaching mission consists of undertaking both supervised and practical courses, along with the tutoring of projects and internships/work experiences, essentially in the teaching of engineering and Masters of Science diplomas. The candidate should be capable of covering a relatively large spectrum within the teaching of probability, statistics, numerical methods for solving PDEs, optimization.

Profil du candidat :
The candidate should hold a doctorate in applied mathematics or engineering with a strong background in mathematics. Significant experience of teaching in the aforementioned fields at under-graduate or post-graduate cycle levels will be appreciated.
The successful candidate will contribute to the research theme applied mathematics for data science. She/he should have a strong experience in research already recognized through publications and communications.
Command of the English language is essential.
Aptitudes for working in a team will also be an important criterion.
The candidate should hold a European citizenship.

Formation et compétences requises :
Doctorate in applied mathematics
or doctorate in computer science or engineering with clear mathematical skills (probability, statistics, optimization, inverse problems).

Adresse d’emploi :
Saint-Etienne, France

Document attaché : English_EMSE_concours_maitre_assitant14022019_v2.pdf