Flexible Work, Better Balance
Job description
We are looking for motivated postdoctoral researchers to contribute to this effort. The envisioned research will address:
Lifelong learning and adaptation using digital twins for continuous process optimization in industrial processes, using methods such as reinforcement learning, continual learning, Bayesian optimization and adaptive control.
Development of digital twin-based learning and optimization methods for manufacturing processes such as 3D Printing, laser cutting, precision motion, and robotic manipulation using methods in machine learning, federated learning and optimization.
For both poistions, the results will be demonstrated on real-world advanced manufacturing and robotic systems in collaboration with industrial partners, helping to improve the efficiency and sustainability of their products.
Your goal will be to translate your own research ideas to tack...