Job Requirements
Lexington, MA
Secret Polygraph Unspecified
Career Level not specified
Salary not specified
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Job Description
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.
Job Overview
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.
Requirements/Skills:
Preferred (not required):
Compensation
Hourly pay rates are effective January - December 2027, and based on academic year.
Technical co-op: $25.50 - $43.50
Administrative co-op: $23.00 - $27.00
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret-level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 43578
Job Overview
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.
Requirements/Skills:
- The 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 selection for application-specific requirements
- Hands-on experience in AI/ML model development and testing
- Experience with Python and PyTorch
- Biomedical signal/image processing
Preferred (not required):
- MATLAB
- Robotics control systems
- Embedded software/AI
Compensation
Hourly pay rates are effective January - December 2027, and based on academic year.
Technical co-op: $25.50 - $43.50
Administrative co-op: $23.00 - $27.00
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret-level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 43578
group id: 10101804
