Postdoctoral Researcher in Learning-Based Control, Safe Reinforcement Learning, and Robotics at University of Central Florida University of Central Florida in United States

Postdoctoral researcher position at the University of Central Florida in learning-based control with safety and geometric structure for complex dynamical systems.

The research program spans reinforcement learning for control systems and robotics, transfer learning in dynamical systems, multi-agent/multimodal control and coordination, safe reinforcement learning, and geometric learning for control. The group is led by Haonan Ling (Assistant Professor in Mechanical and Aerospace Engineering) in collaboration with Tong Wu.

Eligible applicants should have a Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Mathematics, or a related field, with a strong background in machine learning, especially reinforcement learning. The post seeks candidates who are intellectually independent, rigorous, and able to communicate science clearly.

The appointment is 24 months total, starting August 1, 2026, with an initial 12-month contract and a possible 12-month renewal based on satisfactory performance. Funding is secured for the full duration. The group also highlights strong computational resources, including NVIDIA A6000 GPU workstations, DGX systems, and access to robotics hardware for real-world validation.

To apply, email your CV to the supervisors using the university email addresses listed in the post.