CO-OP Student: Biomedical Imaging and Acoustics

 

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 medical imaging and biomedical systems. Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians. We are looking for students who are self-motivated and interested in helping us build next-generation AI-powered ultrasound and robotics systems.

 

 Requirements:

 

• Currently pursuing a B.S., M.S., M.Eng., or Ph.D. in Biomedical Engineering, Electrical Engineering, or other relevant degree
• Fluent in MATLAB and/or Python
• Biomedical imaging and/or signal processing (coursework or practical)

 

Preferred (not required):

    

• Previous experience in ultrasound or acoustic beamforming
• Previous experience with research ultrasound systems (e.g. Verasonics)
• Machine learning experience (coursework or practical)

 

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: 40601