Human Health and Performance Systems Co-op (June - December 2027) - Group 02-24
About The Position
The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and enhance human capability in domains of interest to national security. Its research programs focus on integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. The interdisciplinary group includes experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Its 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. The team seeks a Co-op student interested in solving AI/ML and image-processing problems for biomedical technologies. Working with engineers, scientists, and clinicians, the student will prepare and process large multimodal biomedical datasets, such as ultrasound, x-ray, and microscopy data; develop and evaluate machine-learning algorithms; and implement data-visualization tools for advanced medical-imaging technologies. The role is suited to students interested in image processing, machine learning, deep learning, statistical pattern recognition, and high-performance cloud computing. The co-op is scheduled for June through December 2027. Hourly technical co-op pay is $25.50–$43.50, with rates effective January through December 2027 and based on academic year. The selected candidate will undergo a pre-employment background investigation and must be able to obtain and maintain a Secret-level DoD security clearance. U.S. citizenship is required.
Requirements
- Be a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or another relevant field.
- Demonstrated theoretical knowledge of AI/ML methods and model-architecture selection for application-specific requirements.
- Hands-on experience developing and testing AI/ML models.
- Experience with Python and PyTorch.
- Experience with biomedical signal or image processing.
- Must be able to obtain and maintain a Secret-level DoD security clearance.
- U.S. citizenship is required.
Nice To Haves
- MATLAB experience.
- Robotics control systems experience.
- Embedded software or AI experience.
Responsibilities
- Prepare and process large, multimodal biomedical datasets, including ultrasound, x-ray, and microscopy data.
- Develop and evaluate machine-learning algorithms.
- Implement data-visualization tools for advanced medical-imaging technologies.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
