Fully Funded PhD Position in Aerospace Engineering, Dynamics, Control, and Astrodynamics

Rutgers University is offering fully funded PhD positions in the X-Bai Research Group, focusing on the areas of dynamics, control, and astrodynamics. The group leverages machine learning and artificial intelligence to address challenging problems in aerospace engineering, with research sponsored by major agencies such as NSF, AFOSR, NASA, ONR, DOD, and DOD SBIR. Current research topics include space robotics (robotic software and autonomous capabilities for space missions), ML-enabled prediction of atmospheric density and its effect on satellite operations, and physics-based ML approaches for improved orbit prediction and space traffic management. Applicants should have backgrounds in aerospace engineering, computer science, electrical engineering, applied mathematics, or closely related fields. Preference is given to candidates with strong foundations in astrodynamics, dynamical systems and control, machine learning, or robotics. Successful candidates will be self-motivated, committed to pursuing a PhD, and eager to conduct first-class research. The group has a strong track record of alumni moving on to faculty positions and high-tech engineering roles worldwide. Funding for these positions is fully provided, though specific stipend and tuition details are not listed. Interested candidates should contact Professor Xiaoli Bai at [email protected], submitting a CV, transcripts, and an introduction to their research background and interests. For more information about the group and research areas, visit the X-Bai Group website. This is an excellent opportunity for students passionate about aerospace engineering, robotics, and advanced computational methods to join a leading research team at Rutgers University.