Postdoctoral Scholar

Postdoctoral Scholar In Machine Learning For Physical Systems The Department of Electrical and Computer Engineering at Tufts University invites applications for a postdoctoral scholar in the research group of Prof. Peter Lu. The position focuses on machine learning methods for physical systems, including ML emulators or surrogate models for chaotic dynamics and materials modeling. The successful candidate will develop and analyze ML models for scientific problems and will have latitude to shape the research direction in collaboration with the PI.Relevant application domains include high-dimensional PDEs, turbulence, and materials modeling. Methodological interests in the group span scientific generative modeling, representation learning, optimal transport, and neural operators. Candidates whose expertise connects to any of these areas, and who want to work at the interface of rigorous physical modeling and modern ML are encouraged to apply. Responsibilities include conducting independent and collaborative research, developing and validating scientific ML models and code, disseminating results through publications and presentations, and contributing to grant activity and the mentoring of student researchers.