Human Health and Performance Systems Co-op (Spring 2027) - Group 02-24

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 32,000 - 44,000; Full time

Benefits offered by this job

Technical Co-Op: $25 – $32 per hour

Administrative Co-Op: $23 – $27 per hr

Job summary

MIT Lincoln Laboratory is seeking aHuman Health and Performance Systems Co-op for Spring 2027 in Lexington, MA. You will work with engineers, scientists, and clinicians to tackle AI/ML and image processing challenges in biomedical technologies, building workflows for large biomedical datasets and evaluating algorithms that advance medical imaging.

You will gain hands-on experience in a multidisciplinary setting, applying high-performance computing and Python-based tools to real-world patient

Qualifications

• Candidate is enrolled in a relevant BS/MS/PhD program.
• Strong theoretical knowledge of AI/ML methods and model architectures.
• Hands-on AI/ML development experience with Python and PyTorch.
• Experience in biomedical signal or image processing.

Responsibilities

• Collaborate within a multi-disciplinary team of engineers, scientists, and clinicians.
• Prepare and process large multimodal biomedical datasets (ultrasound, x-ray, microscopy).
• Develop and evaluate machine learning algorithms for biomedical imaging.
• Create data visualization tools for advanced medical imaging applications.

Skills

AI/ML proficiency

Python

PyTorch

Biomedical signal/image processing

Education

B.S./M.S./Ph.D. student in Biomedical Eng, Electrical Eng, CS or related field

Tools

Python

PyTorch

MATLAB

Job description

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Human Health and Performance Systems Co-op (Spring 2027) - Group 02-24

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 Description

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):

• Robotics control systems
• Embedded software/AI
• MATLAB

Compensation

• Technical Co-Op: $25 – $32 per hour (based on year in school)
• Administrative Co-Op: $23 – $27 per hour (based on year in school)