Postdoctoral Researcher - AI/ML Design for Energy Storage Batteries The Shi Group (Sustainable Energy Materials) in the Department of Mechanical and Aerospace Engineering at Syracuse University is seeking an experienced and highly motivated postdoctoral researcher to join the team. The postdoctoral researcher will focus on physics-informed AI/ML for battery materials and will have the opportunity to propose and define a specific focus for their work across a broad range of areas.
Qualifications:
PhD in materials science and engineering, mechanical engineering, chemical engineering, chemistry, computer science, or equivalent is required. Demonstrated potential for excellence in research, evidenced by a solid publication record or significant research accomplishments (e.g. highly competitive awards, invited talks, etc.)
Job Specific Qualifications:
Training experience in battery-related research at graduate school. Strong knowledge in ML/AI and in one or more of the following areas: solid mechanics, numerical electrochemical modeling, DFT/MD modeling. Excellent communication and interpersonal skills. Excited to explore and develop new research ideas and directions. Willing to collaborate effectively across scientific disciplines and with colleagues in cross-functional teams.
Responsibilities:
Design, execute research, and analyze data. Write manuscripts and fellowship proposals. Assist in grant writing. Mentor and collaborate with graduate and undergraduate students. Present research at conferences and workshops. Participate in other duties related to the lab mission.
