France: PhD position in Scientific Machine Learning (SciML)
๐๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป: Besanรงon, France
๐ฆ๐๐ฎ๐ฟ๐ ๐ฑ๐ฎ๐๐ฒ: September 2026 (flexible)
๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป: 3 years
๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฑ๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ: June 15, 2026
๐ฃ๐ต๐ ๐ง๐ผ๐ฝ๐ถ๐ฐ: ๐๐ฎ๐ฟ๐ฑ ๐ฎ๐ป๐ฑ ๐ฆ๐ผ๐ณ๐ ๐๐ผ๐ป๐๐๐ฟ๐ฎ๐ถ๐ป๐๐ ๐ถ๐ป ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฐ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
The project focuses on one of the key challenges in Physics-Informed and Scientific Machine Learning: โHow should physical constraints be integrated into machine learning models?โ
The research will involve:
- Physics-informed ML and system identification
- Dynamical systems and port-Hamiltonian formulations
- Benchmarking constrained learning methods with applications in soft robotics and neuroscience
The position is ideal for candidates with a strong background in:
โข Machine Learning
โข Control Theory
โข Applied Mathematics and Scientific Computing
Strong Python/ML programming skills and prior research experience are highly appreciated.
To apply, candidates should send: a CV, Cover letter and References to:
karim.cherifi (at) supmicrotech.fr with the Subject: [PhD position] Your Name