Postdoc Fellow in Advanced AI Energy​/Power Grids

Postdoc Fellow in Advanced AI for Energy/Power Grids

Title:

Postdoc Fellow in Advanced AI for Energy/Power Grids

School:
Harvard John

A. Paulson School of Engineering and Applied Sciences

Department/Area:
Electrical Engineering / Applied Mathematics / Computer Science

Professors Le Xie and Na Li at the John

A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University are seeking a motivated postdoctoral fellow with a Ph.D. in electrical engineering, applied mathematics, or a related field. The fellow will conduct research on agentic AI, foundational modeling, optimization, and control of multi‑agent autonomous systems with applications to renewable energy and power grids. The role involves collaboration with graduate students and partners in the broader Harvard community, including 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, adaptive control) and a desire to impact energy/power grids.

Candidate should have a substantial publication history and demonstrate teamwork and communication skills.

• Submit a curriculum vitae and 2–5 letters of reference (electronic). Provide three publication samples. An optional 1–2 page statement of research is welcome.

$67,600 – $91,826. Pay is based on rank, experience, training, and accomplishments.

Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment opportunity policy that prohibits discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law.