About the role#
This co-op position focuses on solving AI, machine learning, and image processing problems within the Human Health and Performance Systems group. You will join a team of engineers, scientists, and clinicians to work on medical technologies. The role involves preparing large datasets and building tools to support advanced imaging research.
What you'll do#
- Prepare and process large, multimodal biomedical datasets including ultrasound, x-ray, and microscopy images.
- Develop and evaluate machine learning algorithms.
- Build data visualization tools for medical imaging technologies.
What you'll need#
- Current enrollment in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or a related field.
- Theoretical knowledge of AI and machine learning methods, including model architecture selection.
- Hands-on experience developing and testing AI or machine learning models.
- Proficiency in Python and PyTorch.
- Experience with biomedical signal or image processing.
Location & details#
- Location: Lexington, Massachusetts.
- Modality: This is an on-site, full-time position.
- Compensation: $25 to $32 per hour, based on your year in school.
- Terms: This is a paid co-op with rolling start dates.
About MIT Lincoln Laboratory
MIT Lincoln Laboratory is a federally funded research and development center. Founded in 1951, it focuses on technology development and system prototyping for national security. The organization is based in Lexington, Massachusetts. It employs over 4,000 people and works with industry partners to transition new concepts into deployed systems.
How to get in at MIT Lincoln Laboratory
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