Estimation for vehicle tire-road interactions towards automated driving
A fully funded Ph.D. position is available at Michelin and the Laboratory for Computer Science and Automation Systems (LIAS), Poitiers University, France. The appointment will be for 3 years.
Contributed by Guillaume Mercère (firstname.lastname@example.org) and Jérémy Vayssettes (Jeremy.email@example.com)
Title: Estimation for vehicle tire-road interactions towards automated driving
We are looking for a student who recently completed a Master degree in automatic control or applied mathematics for a Ph.D position in the area of data-driven modeling. The main objective of this PhD thesis is to develop new tools for monitoring road changes on real cars. This project aims at providing new solutions to avoid the aforementioned drawbacks and develop new control algorithms for Automated Driving Systems, leading to an increased safety for the end users. In order to reach this goal, a specific attention will be paid to the development of new algorithms for road friction change estimation, i.e., the development of new tire models in order to (i) estimate possible evolutions of road conditions (ii) study its real-time behavior when road conditions evolve, (iii) develop flexible models for modern ADS design.
Applications (including an application letter, complete CV, list of publications) and inquiries should be addressed to Dr. G. Mercère (firstname.lastname@example.org) and Dr. J. Vayssettes (Jeremy.email@example.com).
More details on https://www.lias-lab.fr/perso/guillaumemercere/PhdThesisMichelinLIAS.pdf
Please promote this Ph.D. position towards your Master students who don't have any scholarship yet.