Postdoc Fellow in Advanced AI Energy​/Power Grids

Postdoc Fellow in Advanced AI for Energy/Power Grids

Harvard University - John

A. Paulson School of Engineering and Applied Sciences (SEAS)

Professors Le Xie and Na Li in the John

A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral fellow with a Ph.D. in electrical engineering, applied mathematics, or a related field.

Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with applications in renewable energy and power grids, working closely with graduate students and collaborators on research projects.

This postdoctoral fellow will work closely with Professors Xie and Li while engaging with the broader Harvard community such as the Salata Institute for Climate and Sustainability, and the Kempner Institute.

• Ph.D. in electrical engineering, applied mathematics, or a related field.

• Strong mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, or adaptive control).
• Substantial publication history.
• Good teamwork and communication skills.

A complete application must include:
- Curriculum vitae
- 2-5 letters of reference
- Three publication samples
- Optional 1-2 page statement of research

Roisin Dowling
Email: (Use the "Apply for this Job" box below).

Salary range: $67,600 – $91,826. Pay offered depends on rank, experience, training, qualifications, and scholarly accomplishments.

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