Doctoral (PhD) Student Positions in Control for Advanced Manufacturing

Online learning-based control and control-oriented machine learning with application to advanced manufacturing systems, using methods such as Reinforcement Learning, Online Convex Optimization, and Iterative Learning Control.

System-level hierarchical controller optimization for industrial systems and decision-making using methods from bilevel, on-line, and differentiable optimization. 

Control and task planning for advanced manufacturing using domain knowledge and expert feedback using methods from domain adaptation, transfer learning, and large-language models and expert feedback in process planning. 

Digital twin-based learning and optimization for manufacturing processes such as 3D Printing, laser cutting, precision motion, robotic ...