Post-doc in Industrial and Systems Engineering for Modeling and Evaluation of Industrial Processes – Full-time fixed-term contract (12 months)

JOB ENVIRONMENT:

Institut Mines-Télécom is the leading public group of engineering and management Grandes Écoles in France. Consisting of eight public graduate Grandes Écoles and two subsidiary graduate schools, Institut Mines-Télécom leads and develops a rich ecosystem of partner schools, economic, academic and institutional partners, key players in education, research and economic development.

Mines Saint-Étienne, a graduate school of the Institut Mines-Télécom, is responsible for education, research, innovation, industrial transfer and scientific culture dissemination. With 2,500 students, 500 staff and a budget of €50m, it has 3 campuses dedicated to the industry of the future, health and well-being, and digital sovereignty and microelectronics. It is ranked in the top 15 graduate engineering schools in France and the top 500 universities worldwide.

The 2023-2027 strategy of Mines Saint-Etienne is in line with that of Institut Mines Telecom. It aims to:

• Support the ecological, digital and generational transitions and educate the people involved

• Support national and European sovereignty in microelectronics and digital technolog

To support this strategy, it is recruiting a Post-doc in Industrial and Systems Engineering for Modeling and Evaluation of Industrial Processes.

Requirements

JOB DESCRIPTION:
The Laboratory of Computer Science, Systems Modelling and Optimization (LIMOS), is a Mixed Research Unit
(UMR 6158) in computer science, and more generally in Science and Information and Communication
Technologies (STIC). It is linked with the Institute of Information Sciences and their Interactions (INS2I) of the
CNRS and in a secondary way with the Institute of Engineering and Systems Sciences (INSIS). The LIMOS belongs
to the University Clermont Auvergne (UCA) and Mines Saint-Etienne (MSE). It is also a member of Clermont
Auvergne INP. The scientific positioning of LIMOS is focused on Computer science, Modeling and Optimization
of Organizational and Living Systems.
The Institut Henri Fayol, a training and research center at Mines Saint-Etienne, focuses on current
transformations in the digital, ecological and industrial transitions that are at the heart of the efficiency,
resilience and sustainability of industry and territories. It develops a multi-disciplinary strategy combining strong
skills in mathematical and industrial engineering, computer science and intelligent systems, environmental and
organizational engineering, and responsible management and innovation, in conjunction with the EVS UMR
5600, LIMOS UMR 6158 and COACTIS research units.
The post-doc position is part of the international collaboration project ANR NAIMAN : Normative Artificial
Intelligence for regulating MANufacturing (ANR-22-CE23-0018-01) among the University of São Paulo in Brazil,
the Federal University of Santa Catarina in Brazil and Mines Saint-Etienne represented by the Institut Henri Fayol
in France.
Manufacturing is compelled to become more flexible, adaptable, resilient, sustainable, and human-centred in
order to evolve and remain competitive. The digital transformation of the manufacturing systems, from business
models to machines at the shop floor, provides a nurturing environment for the implementation of these
necessary properties. But to thoroughly implement them, modern manufacturing industries have to adopt more
autonomous and (self-)adaptive technologies that can quickly and flexibly respond to endogenous (e.g., product
quality, machine failure, energy policy) and exogenous (e.g., customer demand, COVID-19, environmental
regulations) changes.
Modern manufacturing industries have a set of requirements that will enable them to enhance production and
respond quickly to endogenous and exogenous changes sustainably:
• Flexibility: adjust the manufacturing system to different situations and production environments
• Resilience: endow manufacturing systems with the capability to avoid, withstand, and recover from
unexpected changes
• Trustworthiness: ensure that human beings and organizations trust and understand the functioning of
the manufacturing system
• Sustainability: ensure that regulated manufacturing systems adapt to sustainability regulations
The NAIMAN project addresses these requirements by coupling industrial process modeling with normative
aspects to define a set of design principles for governing manufacturing systems to operate trustworthy and
sustainably, and to respond quickly and flexibly to endogenous and exogenous changes. Self-adjusting regulation
mechanisms are proposed to put into action these principles, thus enabling humans oversee the system’s
operation and dec