Rahul Mangharam

Penn Engineering / xLab at the University of Pennsylvania is advertising two fully funded openings : a PhD student position and a postdoc position. The lab works on embedded AI and cyber-physical systems , with research spanning: • learning-to-optimize and sampling-based MPC for mixed-integer and industrial constraints • multi-agent teams with STL mission specifications, including cooperation and competition • an AI coaching game for teaching difficult physical skills without over-helping • physics-informed digital twins, including patient-specific cardiac models for ablation • physics-constrained networks and uncertainty quantification for safer AI systems This opportunity is especially relevant for students and researchers interested in robotics , control theory , machine learning , AI safety , distributed optimization , and real-time control . Funding: both positions are described as fully funded. Eligibility/preferences: the post does not list formal GPA, test-score, or degree-specific requirements beyond the advertised PhD and postdoc levels. It does ask interested candidates to share a CV, a short research statement, and one paper. How to apply: email Professor Rahul Mangharam at [email protected]. Include your CV, a short research statement, and one paper. The post also links to xLab’s research roadmap for more details.