Postdoc Opportunity in Machine Learning for Health at MIT

[Li-wei Lehman]

Dear Friends and Colleagues,

My research team at MIT is seeking Postdoctoral Associates in Machine Learning for Health, with positions available immediately starting Fall 2025. Please feel free to share this opportunity with potential candidates.

MIT Postdoctoral Position in Machine Learning for Health

The Massachusetts Institute of Technology (MIT), Institute for Medical Engineering & Science (IMES) invites applications for a Postdoctoral Associate position in Machine Learning for Health. This is an immediate opening for a highly motivated researcher interested in developing machine learning methods for latent representation learning and generative modeling from complex, multimodal, time-varying clinical data, with the goal of supporting sequential treatment decision-making and generating actionable insights.

The project offers opportunities to design and apply novel machine learning and statistical approaches to generate clinically meaningful insights from observational health data, including clinical time series and physiological signals, with extensions to multimodal learning from medical imaging, physiological waveforms, and physician text reports. The successful candidate will join a multidisciplinary team working at the interface of computational methods and clinical medicine to develop approaches with high translational value that inform patient care and treatment decisions. 

Qualifications: Ph.D. in Computer Science, Machine Learning, Statistics, or a related field, strong publication record in top-tier machine learning and AI venues, and demonstrated ability to conduct independent, high-quality research.

Preferred expertise:

• Probabilistic and generative modeling (e.g., latent variable models, deep generative models)

• Sequential and dynamical modeling (e.g., deep dynamical systems, state-space models, and methods for sequential decision-making)

• Representation learning (interpretability, structure discovery from time-varying data)

Application: Applicants should send a CV and a short description of research interests to Li-wei Lehman, lile...@mit.edu.   Applications will be reviewed periodically, and candidates whose background and expertise are a strong fit for the position will be contacted for next steps.

For more details, please see http://web.mit.edu/lilehman/www/postdoc.html

Li-wei Lehman, Ph.D.

Research Scientist

Institute for Medical Engineering & Science

Massachusetts Institute of Technology

http://web.mit.edu/lilehman/www/

MIT Postdoctoral Associate in Applied Machine Learning and Data Science for Health

The Massachusetts Institute of Technology (MIT), Institute for Medical Engineering & Science (IMES) invites applications for a Postdoctoral Associate position in Applied Machine Learning and Data Science for Health. This is an immediate opening for a highly motivated researcher with strong applied ML and data science skills to work on applying interpretable machine learning approaches for time-varying, multimodal clinical data, supporting sequential treatment decision-making and actionable clinical insights. The project provides opportunities to apply machine learning and statistical methods to large, multimodal observational datasets from electronic health records, including: clinical time series and physiological signals, medication and procedure records, medical imaging, and physician notes and clinical text reports. The successful candidate will join a multidisciplinary team working at the interface of computational methods and clinical medicine, contributing to projects with translational impact on healthcare and patient care.

Qualifications:

• Ph.D.(or equivalent advanced degree) in Computer Science, Machine Learning, Data Science, Biomedical Informatics, or a related field.

• Strong applied skills in machine learning, with hands-on experience in coding, data processing, and model evaluation.

• Demonstrated ability to work on real-world datasets.

• Solid publication record in peer-reviewed venues in machine learning, AI, or biomedical data science

Preferred expertise (one or more):

• Applied Machine Learning and Clinical Data Science

• Experience in one or more of the following would be useful, but not required: biomedical signal processing, biomedical image analyses, experience with large-scale clinical data and multimodal data.

Application: Applicants should send a CV and a short description of research interests to Li-wei Lehman, lile...@mit.edu.   Applications will be reviewed periodically, and candidates whose background and expertise are a strong fit for the position will be contacted for next steps.

For more details, please see http://web.mit.edu/lilehman/www/postdoc.html

Li-wei Lehman, Ph.D.

Research Scientist

Institute for Medical Engineering & Science

Massachusetts Institute of Technology

http://web.mit.edu/lilehman/www/

-- 
Li-wei Lehman, Research Scientist
Institute for Medical Engineering & Science,
Massachusetts Institute of Technology,
Rm E25-505, 45 Carleton St., Cambridge MA 02142