News - Job offer, thesis subject

Position : permanent
Date : July 1, 2023
Contact Mail : , tel : 04 77 42 00 17

Competition for a Senior Lecturer in 'Data Science and Statistical Learning'

Mines Saint-Etienne is recruiting a Senior Lecturer: Data Science and Statistical Learning, Artificial Intelligence for Industry and Territories of the Future.
The proposed position is open within the GMI (Mathematical and Industrial Engineering) department of the Henri Fayol Institute with research activities developed in the SIC axis of the UMR CNRS 6158 LIMOS.
The aim is to strengthen the skills of Mines Saint-Etienne in applied mathematics, particularly in data science and statistical learning, and in Artificial Intelligence, in relation to industry and the territories of the future, through the identification and optimal design of industrial systems both from a research and teaching point of view.

1) Profile of the candidate
The candidate must hold a PhD in applied mathematics or data science (CNU sections 26, 27, 61) or equivalent
The candidate should have strong skills in the field of: Data Science and/or Statistical Learning from complex data, Artificial Intelligence. Postdoctoral experience will be highly appreciated. Fluency in English is essential.
The following skills are expected:
- interest in teamwork and ability to build a research project in this context,
- interest in industrial relations, technology transfer and innovation
- aptitude for interdisciplinary work and multidisciplinary collaborations,
- quality of oral and written communication.

2) Missions

- Teaching:
The teaching mission consists of providing courses, tutorials and practical work in the teaching of mathematics in the initial training of the Ingénieur Civil des Mines (ICM) cycle in the fields of probability and statistics, data science, industrial statistics and numerical methods. This mission may include the supervision of projects and internships for students...

- Research
The research missions will take place in the SIC axis of LIMOS, dedicated to data acquisition, management and analysis of large amounts of data on the one hand, and to the development of data mining techniques and statistical and automatic learning on the other hand.
The person recruited will develop work in data science and statistical learning, from complex data, Artificial Intelligence, ...
More than a fine adequacy to the profile, LIMOS will privilege the quality of the candidates and their capacity to produce a high level research within the laboratory.

Desired starting date : September 1 / October 1, 2023
The applications must be submitted on the RECRUITEE platform on April 14, 2023 at the latest via the following link:
URL deposit:

More information above