Massachusetts Institute of Technology
Top university
2 weeks ago
Postdoc in Machine Learning for Health at MIT Massachusetts Institute of Technology in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoc appointment for up to 11 months through August 31, 2027, renewable annually subject to funding availability and performance. Annual salary is $73K.
Country
United States
University
Massachusetts Institute of Technology

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About this position
MIT has an immediate opening for a postdoc in machine learning for health. The position is hosted at the Massachusetts Institute of Technology and is centered on research in machine learning, health, clinical time series, imaging data, and physiological signals. The role is especially relevant for candidates with interests in representation learning, multimodal data, dynamical systems, state-space modeling, signal processing, probabilistic machine learning, causal inference, and sequential treatment decision making.
Applicants should have a PhD in Computer Science, Machine Learning, Statistics, Biomedical Informatics, or a related field. A strong publication record in top-tier ML/AI venues and the ability to conduct independent, high-quality research are required. The post specifically states that candidates must currently have authorization to work in the United States.
Funding details mentioned in the post include an initial appointment of up to 11 months through August 31, 2027, with possible annual renewal depending on funding availability and performance. The advertised annual salary is $73K.
To apply, send a CV to Li-wei Lehman at [email protected]. Include your current affiliation, expected start timeline, and 2–3 representative publications and venues. Applications are reviewed periodically, and shortlisted candidates will be contacted for next steps.
Funding details
Postdoc appointment for up to 11 months through August 31, 2027, renewable annually subject to funding availability and performance. Annual salary is $73K.
What's required
Ph.D. in Computer Science, Machine Learning, Statistics, Biomedical Informatics, or a related field. Strong publication record in top-tier machine learning and AI venues is required, along with demonstrated ability to conduct independent, high-quality research. Applicants must currently have authorization to work in the United States. Preferred expertise includes representation learning from time-varying multimodal data, dynamical systems, state-space modeling, signal processing, probabilistic machine learning (latent variable models and approximate inference), sequential treatment decision making, causal inference, and experience with clinical time series, imaging data, or physiological signals.
How to apply
Send a CV to Li-wei Lehman by email and include your current affiliation, expected start timeline, and 2–3 representative publications and venues. Candidates whose background fits will be contacted for next steps.
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