"Postdoctoral Research Fellows - AI for Energy"

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

Application Materials Required:

• 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