
The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Our team is looking for a Co-Op student with an interest in solving challenging AI/ML and image processing problems for biomedical technologies. Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to prepare and process large, multimodal biomedical datasets (e.g., ultrasound, x-ray, microscopy), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies. We are looking for students who are self-motivated and interested in image processing, machine learning, deep learning, statistical pattern recognition, and high-performance cloud computing.

MIT Lincoln Laboratory is a federally funded research and development center chartered to apply advanced technology to problems of national security. Research and development activities focus on long-term technology development as well as rapid system prototyping and demonstration. These efforts are aligned within key mission areas. The Laboratory works with industry to transition new concepts and technology for system development and deployment.