PhD Position - Interactive Learning for Closed-Loop Control of Microfluidic Live-Cell Experiments (HDS-LEE graduate school)

Your Job :

We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”.

Your Job :

Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments

Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups

Refine a real-time planning and execution architecture for information-driven experiment steering (closed-loop control)

• Work in an interdisciplinary team of engineer