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Laurent Demanet

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Postdoc / Research Scientist Positions in Scientific Computing and Scientific AI at MIT Massachusetts Institute of Technology in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Jan 1, 2026

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Country

United States

University

Massachusetts Institute of Technology

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Keywords

Computer Science
Geology
Medical Imaging
Mathematics
Artificial Intelligence
Computational Science
Parallel Computing
Earth Science
Computational Mathematics
Statistics
Inverse Problem
Physics
Large Language Models

About this position

Massachusetts Institute of Technology’s Imaging and Computing Group (ICG), led by Professor Laurent Demanet, has immediate openings for two Research Scientist or Postdoc positions in scientific computing and scientific AI.

Project 1: Parallel HPC and distributed optimization for inverse problems. This role can be remote.

Project 2: Autoregressive foundation AI models, exploring the LLMs of multi-modality geophysics. This role is on-site at MIT.

Applications are reviewed immediately. Applicants should send a CV, publication list, and a short research statement directly by email to Prof. Demanet, and include immigration status in the message or file. The page notes that recommendation letters are helpful and should be sent early if available, though they are not mandatory.

The same page also describes other opportunities connected to the group, including instructor positions in applied mathematics, PhD pathways through MIT Mathematics, EAPS, or CSE, summer internships, and UROP projects. For the PhD route, applicants must formally apply to the relevant graduate program; simply emailing interest is not enough. For the summer internship, the deadline is January 1, with a stipend covering travel and local expenses, and preference for strong candidates with backgrounds in PDEs, numerical analysis, scientific AI, and programming.

This is a strong fit for candidates in mathematics, computer science, physics, earth science, and related computational fields with interests in inverse problems, HPC, optimization, and AI for geophysics.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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