The University of Poitiers (France) invites applications for a 1-year postdoctoral research position in collaboration with LIAS (Poitiers), GIPSA-lab (Grenoble), and Michelin. This role focuses on developing and comparing novel digital twin solutions for vehicle dynamics estimation.
Research Themes:
Data-driven modeling, parameter, and signal estimation theory
Algorithmic innovation and convergence analysis
Applications to smart, connected, and efficient mobility
Candidate Profile:
PhD in a related field (e.g., control theory, applied mathematics, or machine learning)
Strong background in estimation and control of complex dynamic systems
Experience in data fusion and real-world applications is desirable
Position Details:
Duration: 1 years
Location: Poitiers, France (with collaboration in Grenoble)
We are seeking motivated researchers eager to work at the interface of cutting-edge theory and impactful industrial applications.
For more information and to apply, please visit https://www.lias-lab.fr/informations/jobs/ (Digital twin solutions for vehicle dynamics estimation).
