News - Job offer, thesis subject

Position : CDD
Date : Jan. 1, 2023
Contact Mail : , tel : 04 77 42 00 17

Associate Professor Competition in Simulation and Decision Support for the Industry of the Future

Associate Professor Competition in Simulation and Decision Support for the Industry of the Future

12-month fixed-term contract (ending on 31/12/2023)

Mines Saint-Etienne is recruiting an Associate Master Assistant (post-doc equivalent) for 12 months in simulation and decision support for the development of digital twins in the Industry of the Future.

The proposed position is open in the GMI (Mathematical and Industrial Engineering) department with research activities developed in the ODPS (Decisional Tools for Production and Services) axis of the UMR CNRS 6158 LIMOS. The missions of this position will be carried out on the Campus of Saint-Etienne (42).

The application files must be submitted on the RECRUITEE platform by November 15, 2022 at the latest via the following link
URL deposit:

The candidates selected for an audition will be informed as soon as possible. The audition will take place on the afternoon of 24 November 2022. Part of the discussion will be conducted in English.

1) Profile of the candidate
The candidate, holder of a PhD in Computer Science or Industrial Engineering, must have skills in the field of decision support related to the simulation of dynamic processes.  These skills may include: discrete event simulation, multi-agent simulation, decision graphs such as Markov processes or decision optimization approaches related to reinforcement methods.
Experience with numerical twins through initial training and/or professional experience will be a plus. The expected contributions will have to integrate the current transformations induced by the industry of the future.

2/ Missions
The position of associate professor includes a teaching mission and a research mission.

The teaching mission consists of providing courses, tutorials and practical work in the field of industrial engineering and decision support, for example, in modeling and simulation, digital twins (modeling, design, operation), supply chain management, production management, systems engineering, operations research or quality management. It will also be necessary to supervise projects and internships, primarily in the Civil Mining Engineering program (ICM program). The courses may also be offered in more specialized master's programs (e.g., specialized master's in industrial transition management), national master's degrees, particularly those with an international dimension (the CPS23 international master's), salaried engineering programs, doctoral programs and continuing education. It is possible to teach in English.
In addition, in collaboration with the current teaching team, the person recruited will be able to get involved in the ongoing development of new training courses in connection with the Mines Saint-Etienne platforms on the industry of the future.

The research mission consists of developing work in simulation (discrete event simulation, multi-agent simulation) and/or decision support (dynamic optimization, metamodeling) for the design or use of digital twins of flows. It will also be able to make the link with Data-Driven approaches, simulation - A.I. couplings (reinforcement learning). These developments may use different approaches and methods depending on the candidate's previous experience (e.g. system approach, simulation, machine learning, operational research).
These missions will take place in the Decision Tools for Production and Services (ODPS) axis of LIMOS. The activities of the ODPS axis concern what is called Operations Management and which consists in using at best certain resources to carry out given activities, within the framework of complex organizational systems.
In the context of the valorization and validation of his or her work, the candidate will be able to rely on the Maq'IT prototyping environment and the IT'mFactory platform of the Institut Fayol. More globally, he or she will be able to participate in the development of industrial collaborative projects on the Industry of the Future carried out by the GMI department and the Institut Fayol.

3) Candidate Evaluation Criteria:
The main evaluation criteria are the following (non-exhaustive list):

    PhD in Computer Science or Industrial Engineering (Section 27 or 61 of the CNU);  
    Ability to strengthen the activities and projects on simulation and decision support for Digital Twins;
    Ability to fit into the project of the GMI department and the ODPS axis, the Fayol Institute and the LIMOS laboratory;
    Scientific production: quality and number of publications in journals and conferences indexed by the main electronic databases (Scopus, Web of Science, PubMed, Nature Index, ...) ;
    Experience in teaching (instructor, temporary assistant and/or ATER) in the above-mentioned fields at a graduate level as well as experience in the development and use of new pedagogical methods;
    Fluency in English and, if possible, international experience;   

4) Recruitment conditions
    In application of the special status of teachers at the Institut Mines Télécom, candidates must hold a doctorate or a recognized qualification at least equivalent to the national diploma required.
    These missions will be carried out on the Saint-Etienne (42) campus of Mines Saint-Etienne.
    The duration of the contract is a 12-month fixed-term contract: from January 1, 2023 to December 31, 2023.
    Desired start date: January 1, 2023

For more information
For all information about the position, please contact
    - Deputy Director of UMR LIMOS : Prof. Xavier Delorme, Tel: +33 (0)4 77 42 01 85, E-mail:
    - Director of the Henri Fayol Institute : Prof. Olivier Boissier, Tel: +33 (0)4 77 42 66 14, E-mail:
    - Head of the ODPS axis of LIMOS : Prof. Dominique Feillet, Tel: +33 (0)4 42 61 66 66, E-mail:
    - Head of the GMI department : Pr. Mireille Batton-Hubert, Tel: +33 (0)4 77 42 00 93, E-mail:

For any administrative information, please contact Julie JAFFRE - HR Manager Tel + 33 (0)4 77 42 00 17   Mel: