Job Description
Job description
We are looking for motivated doctoral students to contribute to this effort. The envisioned research will address:
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 ...