Publisher
source

Massachusetts Institute of Technology

Top university

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.

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Country

United States

University

Massachusetts Institute of Technology

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Keywords

Computer Science
Biomedical Engineering
Signal Processing
Information Technology
Medical Science
Causal Inference
Dynamical Systems
Statistics
Salud
Bioinformatic
ML

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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.

More information can be found here

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