Postdoctoral Position in Machine Learning: The Massachusetts Institute of Technology (MIT), Institute for Medical Engineering & Science (IMES), is seeking highly motivated postdoctoral associates to join their multidisciplinary team. This position focuses on developing machine learning methods for clinical data, aiming to improve patient care through actionable insights and advanced statistical methodologies.
Postdoctoral Associate Position in Machine Learning for Health
Designation
Postdoctoral Associate / Research Associate
Research Area
Machine Learning and Data Science for Health
Location
Cambridge, Massachusetts, USA
Eligibility/Qualification
- Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Biomedical Informatics, or related fields.
- Strong publication record in top-tier machine learning and AI venues.
- Demonstrated ability to conduct independent, high-quality research.
Job Description
The successful candidate will work on:
- Developing machine learning methods for latent representation learning and generative modeling from complex, multimodal, time-varying clinical data.
- Supporting sequential treatment decision-making and generating clinically meaningful insights from observational health data, including:
- Clinical time series
- Physiological signals
- Medical imaging
- Clinical text reports
- Collaborating with a multidisciplinary team at the intersection of computational methods and clinical medicine to drive projects with significant translational impact on healthcare.
Preferred Expertise
Candidates with experience in the following areas are encouraged to apply:
- Probabilistic and generative modeling (latent variable models, deep generative models).
- Sequential and dynamical modeling (deep dynamical systems, state-space models).
- Representation learning, including interpretability and structure discovery from time-varying data.
- Multimodal learning, causal machine learning, and offline reinforcement learning for treatment decision support.
How to Apply
Interested candidates should send a CV and a short statement of research interests to Dr. Li-wei Lehman at lilehman@mit.edu. Applications will be reviewed periodically, and candidates whose backgrounds and expertise strongly fit the position will be contacted for next steps.
Last Date to Apply
Applications are open immediately; candidates are encouraged to apply as soon as possible, as positions will be filled on a rolling basis. The position duration is for two years, renewed annually based on performance.
