A 2 year postdoctoral position is open at TRIPOP team.
Interested candidates must hold a PhD in control theory, applied mathematics, or a closely related field.
Candidates are required to have a solid mathematical background, with knowledge of dynamical systems and proficiency in standard linear and nonlinear control methodologies (e.g., Lyapunov methods, sliding mode control). Programming skills in Python (or C++), are highly desirable and knowledge on convex optimization algortihms would be advantageous.
Excellent proficiency in English, including strong academic writing skills, is also required.
Post description:
The selected candidate will be responsible for developing controllers for finite-dimensional dynamical systems, employing set-valued sliding-mode state observers and/or differentiators implemented in discrete time. Additionally, the candidate will perform the associated theoretical analyses of the resulting closed-loop.
The primary challenge involves investigating how discretization affects the closed-loop behavior, specifically concerning stability and robustness properties. This will include analyzing which components of the closed-loop system (observer and/or controller) are best suited for discretization methods such as backward Euler or semi-implicit methods.
Another objective is the development of a software package designed for the simulation and real-time computation of set-valued controllers and observers/differentiators using specific discretization techniques (e.g., backward Euler, semi-implicit methods). This task requires developing appropriate numerical solvers suitable for practitioners who may not have extensive knowledge of the underlying theoretical concepts.
Further information and applications at the link below:
https://recrutement.inria.fr/public/classic/fr/offres/2025-08770
