Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
TU
Tufts University
Postdoctoral Scholar
Career Insights for Data Scientist
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Massachusetts data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$116,058 / year median in Massachusetts
+20% projected growth
Job Description
Overview 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 What You'll Do 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. What We're Looking For Required qualifications: a PhD (completed or expected before the start date) in electrical and computer engineering, physics, applied mathematics, computer science, or a closely related field; a strong record of research; and proficiency in scientific computing and modern ML frameworks.