PhD Position in Reinforcement Learning for Biosystems Modeling

This PhD position at the University of Montpellier focuses on integrating artificial intelligence, machine learning, and mechanistic modeling for clinical applications. The project aims to combine personalized predictions with a deeper understanding of disease progression mechanisms using biochemical reaction networks and differential equations. The successful candidate will apply reinforcement learning techniques incrementally to build biomedical models addressing medical fields such as autism, inflammation, and infections. The host institution is Université de Montpellier, and the project is supported by public research funding.

• Design and implement reinforcement learning algorithms for automated biomedical model generation
• Develop systems of differential equations based on biochemical reaction networks to simulate biological systems
• Build predictive models incrementally, starting from simple frameworks and incorporating complex clinical data
• Apply machine learning methods to medical fields including autism spectrum disorders, inflammation, and infections
• Collaborate closely with an interdisciplinary research team and communicate findings effectively