Postdoc: AI for Energy Systems & Grids

Postdoctoral Research Fellows - AI for Energy Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows will: Develop, train, validate, and benchmark AI/ML models using large-scale, real-world datasets and systems. Lead and participate in research activities with Professor Eilyan Bitar and collaborating Cornell faculty. Collaborate with a cohort of postdocs, graduate students, and the broader Cornell research community in AI, energy systems, and optimization. Mentor graduate students, co-author high-impact publications, and present at major conferences. Engage with industry partners, utilities, and community stakeholders to translate research into real-world impact Basic Qualifications: Applicants should have: Expertise in one or more of the following areas: machine learning, reinforcement learning, robust/stochastic optimization, control systems, transportation systems, power systems, electricity markets, or closely related areas Established publication record A PhD in a relevant field (or near completion) Excellent written and oral communication skills Curriculum Vitae (CV) Two recent publications or preprints Names and contact information for two references Unofficial graduate transcript (Optional) Research statement outlining past work and future directions relevant to the project Additional Information: Employment Assistance: Application Materials Required: Pay Range: Refer to Posting Language Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline Unique applicable skills. Employment Assistance: Notice to Applicants: EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2026-01-12 #J-18808-Ljbffr