Postdoc Fellow in Advanced AI for Energy/Power Grids

Postdoc Fellow in Advanced AI for Energy/Power Grids at Harvard University Postdoc Fellow in Advanced AI for Energy/Power Grids at Harvard University in Cambridge, Massachusetts Posted in 12 days ago.

Job Description:

Harvard University Position Details 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 Position Description 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. Basic Qualifications 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) with a strong desire to make an impact on energy/power grids are preferred. Additional Qualifications Candidate should have substantial publication history, in addition to good teamwork and communication skills. Special Instructions 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. Contact Information Roisin Dowling Contact rdowling@g.harvard.edu Salary Range $67,600 - $91,826Pay 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. Minimum Number of References Required 2 Maximum Number of References Allowed 5 Keywords EEO/Non-Discrimination Commitment Statement 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 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 . 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. Supplemental Questions Required fields are indicated with an asterisk (•). Applicant Documents Required Documents Curriculum Vitae Publication Publication 2 Publication 3 Optional Documents Statement of Research Equal employment opportunity, including veterans and individuals with disabilities. PI284501053