Titre du projet de recherche
Optimisation et commande distribuée des systèmes multi-agents
Niveau d'étude
Doctorat
Directeur/codirecteur
Directeur : Jérôme Le Ny
Codirecteur(s) : Michael Defoort (Valenciennes, France), Emmanuel Moulay (Poitiers, France)
Fin de l'affichage
30 avril 2026
Domaines d'expertise
Optimisation et théories de commande optimale
Commande appliquée à la robotique et automation
Pôle d'excellence principal
Industrie du futur et société numérique
Unité(s) et département(s)
Département de génie électrique
Groupe d'études et de recherche en analyse des décisions (GERAD)
Université de Poitiers et LIAS
Description détaillée
A fully funded joint PhD position is available between Polytechnique Montreal, Canada, and the CNRS LAMIH laboratory at Université Polytechnique Hauts-de-France (UPHF) in Valenciennes, France. The topic is distributed optimization and control of multi-agent systems, with a particular emphasis on the coordination of networked multi-robot systems. This research will investigate resource allocation problems and develop distributed optimization algorithms for cooperative multi-agent systems, leveraging tools from networked control systems, optimal transport and mean-field games. The proposed project will develop methodologies for the control of distributed large-scale systems composed of a large number of agents, whose distribution must be shaped to match them efficiently to a set of tasks.
The student will be spend half of her/his time in Montreal and the other half in Valenciennes. In Montreal, she/he will be affiliated with the department of electrical engineering at Polytechnique Montreal and with GERAD, a multi-university research center on decision systems. Experimental facilities are also available with the Mobile Robotics and Autonomous Systems Laboratory. More information on graduate studies at Polytechnique Montreal can be found here https://www.polymtl.ca/futur-etudes-superieures/en
In Valenciennes, she/he will be affiliated with UPHF and the LAMIH CNRS laboratory, in the Automatic Control Department. More information on the LAMIH can be found here https://www.uphf.fr/lamih.
Interested applicants should have a master's degree in engineering, applied mathematics, computer science, or a related field. A strong background in mathematical methods applied to an area such as control theory, robotics, dynamical systems, machine learning, signal processing, optimization, etc. is desirable.
Interested students are encouraged to send their application, as pdf file(s), to Profs. Le Ny, Defoort and Moulay at jerome.le-ny@polymtl.ca, michael.defoort@uphf.fr, emmanuel.moulay@univ-poitiers.fr
An application should include:
1) A cover letter (maximum one page), stating your research interests and prior experience;
2) A full CV (including a list of publications for the postdoc position);
3) Unofficial transcripts;
4) 1 or 2 samples of past contributions/publications, in English or French (which could be unpublished project reports).
The preferred starting date is September 2026. A successful applicant will then need to submit an official complete application to Polytechnique Montreal before one of the upcoming deadlines: https://www.polymtl.ca/admission/en/graduate-studies/check-application-deadlines
Polytechnique Montreal is the engineering school affiliated with the Université de Montréal and is one Canada’s leading engineering teaching and research institutions. While courses are typically taught in French, non-French-speaking students can take their courses in English at McGill University or Concordia University. Montreal is regularly ranked one of the best student cities in the world. Polytechnique Montreal is deeply committed to employment equity, diversity and inclusion. Accordingly, we encourage women, members of visible and ethnic minorities, Indigenous individuals, and persons with disabilities to apply.
Jérôme Le Ny
Professeur titulaire
