AI-Enabled Chemist for Real-Time Synthesis Optimization

SATT AxLR in Montpellier seeks a candidate to integrate AI in optimizing chemical synthesis processes. Key responsibilities include designing a Bayesian optimization framework, real-time data monitoring, and collaboration with interdisciplinary teams.

A PhD in a relevant field and 2-3 years of experience in optimization and programming are required. Ideal candidates will have programming skills in C++, Python, and MATLAB, along with a strong understanding of Bayesian optimization.