About the role#
The Human Health and Performance Systems Group is looking for a co-op student to work on AI and machine learning problems in multimodal imaging. You will join a multidisciplinary team of roboticists, optical designers, and electrical engineers to address challenges in signal and image processing.
What you'll do#
- Prepare and process multimodal imaging datasets.
- Develop image registration methods to align data across different imaging modalities.
- Create and evaluate algorithms for multimodal analysis and image fusion.
- Explore physics-informed AI models that incorporate imaging physics to improve image reconstruction and interpretation.
What you'll need#
- Enrollment in an M.S. or Ph.D. program for Biomedical Engineering, Electrical Engineering, Computer Science, or a related field.
- Proficiency in Python.
- Experience with standard scientific computing, machine learning libraries, and deep learning frameworks like PyTorch or TensorFlow/Keras from coursework or projects.
- Familiarity with GPU-accelerated computing using CUDA-enabled frameworks.
- U.S. citizenship and the ability to obtain and maintain a Secret level DoD security clearance.
- Preferred: Experience in biomedical image processing, image registration, or image fusion.
- Preferred: Interest in physics-informed AI models and the ability to communicate technical results clearly.
Location & details#
- Location: Lexington, Massachusetts.
- Term: Winter 2027 (January through August).
- Modality: On-site.
- Compensation: $30 to $43 per hour, depending on your education level at the time of the co-op.
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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