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University of Pennsylvania

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Fully Funded PhD and Postdoc Opportunities in Embedded AI, Cyber-Physical Systems, and Autonomous Systems at Penn Engineering University of Pennsylvania in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Two fully funded opportunities are advertised: one PhD student position and one postdoc position at Penn Engineering.

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Country

United States

University

University of Pennsylvania

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Electrical Engineering
Mathematics
Uncertainty Analysis
Digital Twin Technology
Robotics
Autonomous System
Cyber-physical System
Physics
Multi-agent System
ML

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About this position

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.

Funding details

Two fully funded opportunities are advertised: one PhD student position and one postdoc position at Penn Engineering.

What's required

Applicants should send a CV, a short research statement, and one paper. The post targets candidates excited about safe agentic intelligence, distributed optimization, or real-time control. It explicitly mentions a PhD student and a postdoc opportunity; no additional degree, GPA, or test requirements are stated.

How to apply

Email Professor Rahul Mangharam with your CV, a short research statement, and one paper. Use the provided email address to express interest in the PhD or postdoc opening.

More information can be found here

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