Biomedical Imaging AI/ML Co-op (Spring 2027)

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 34,000 - 44,000; Part time

Job summary

MIT Lincoln Laboratory in Lexington, MA is seeking a Human Health and Performance Systems Co-op for Spring 2027. You will work with engineers, scientists, and clinicians to process large biomedical datasets, develop ML algorithms, and implement visualization tools for advanced imaging technologies.

The role emphasizes AI/ML, image processing, and cloud computing, with a focus on self-motivated students in relevant STEM programs.

Qualifications

• Candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.
• Demonstrated theoretical knowledge of AI/ML methods and model architecture for application-specific requirements.
• Hands-on experience in AI/ML model development and testing.
• Experience with Python and PyTorch.

Responsibilities

• Prepare and process large, multimodal biomedical datasets (e.g., ultrasound, x-ray, microscopy).
• Develop and evaluate machine learning algorithms for biomedical imaging applications.
• Implement data visualization tools for advanced medical imaging technologies.
• Collaborate with engineers, scientists, and clinicians on interdisciplinary projects.

Skills

Python

PyTorch

AI/ML methods

Image processing

Education

B.S./M.S./Ph.D. in Biomedical Eng, EE, CS

Tools

MATLAB

Job description

MIT Lincoln Laboratory in Lexington, MA is seeking a Human Health and Performance Systems Co-op for Spring 2027. You will work with engineers, scientists, and clinicians to process large biomedical datasets, develop ML algorithms, and implement visualization tools for advanced imaging technologies.

The role emphasizes AI/ML, image processing, and cloud computing, with a focus on self-motivated students in relevant STEM programs.