Tufts University

Tufts University

Postdoctoral Scholar

Medford, Massachusetts · Contract

Sponsorship not specifiedDetected 9 days ago
Machine LearningComputer VisionResearchCollaborationMentoringPublic Speaking

About the role

  • 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.
  • The position focuses on machine learning methods for physical systems, including ML emulators or surrogate models for chaotic dynamics and materials modeling.

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.
  • 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

Requirements

  • and proficiency in scientific computing and modern ML frameworks.

Nice to have

  • demonstrated experience in one or more of PDEs, dynamical systems, turbulence, materials modeling, or ML surrogate models
  • familiarity with differentiable programming
  • The preferred start date is as soon as possible.
  • The appointment is for up to two years: an initial one-year term with a second year contingent on performance and funding.
  • To apply, please submit a CV, a brief statement of research interests, and two confidential letters of reference.
  • Review of applications will begin immediately and continue until the position is filled.
  • Inquiries may be directed to Prof.
  • Peter Lu (peter.lu@tufts.edu).

Compensation

  • Minimum $67,500.00, Midpoint $67,500.00, Maximum $67,500.00
  • Salary is based on related experience, expertise, and internal equity
  • generally, new hires can expect pay between the minimum and midpoint of the range.
  • Salary follows the Tufts compensation schedule for postdoctoral scholars and is commensurate with experience.

Benefits

  • Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.
  • Methodological interests in the group span scientific generative modeling, representation learning, optimal transport, and neural operators.

This listing is sourced directly from Tufts University's careers page and normalized into a canonical job model.