Postdoc Fellow in Advanced AI Energy​/Power Grids

The Protocol Labs Network is an ecosystem of teams pushing the boundaries of decentralized technologies, research, and open-source innovation. Explore opportunities across the network and join the mission.

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 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 related field.

Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to 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, as well as the Kempner Institute.

• Ph.D. in electrical engineering, applied mathematics, or related field.
• Candidates who have a strong mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or adaptive control) and a strong desire to make an impact on energy/power grids are preferred.

Candidate should have substantial publication history, in addition to good teamwork and communication skills.

A complete application must include a curriculum vitae, 2-5 letters of reference, three publication samples, and an optional 1-2 page statement of research.

Salary Range: $67,600 – $91,826. Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.

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 outlines our commitment to prohibiting 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 or identified in the university’s non-discrimination policy.

Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.