AI Chemist & Data Scientist - Bayesian Optimization

AxLR SATT in Montpellier is seeking a candidate to design and deploy a Bayesian optimization system for chemical processes. The role involves real-time monitoring and automation of synthesis experiments, and requires a PhD in process engineering, chemistry, or a related field.

The ideal candidate will have experience in programming, data analysis, and a strong understanding of Bayesian optimization principles. Proficiency in English and ability to work collaboratively are essential.