Associate Staff: Biomedical Deep Learning and Signal Processing

 

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 self-motivated candidates with an interest in solving challenging problems in signal and image processing, machine learning, and medical data analysis. As an Associate Staff member, you will work with and lead multi-disciplinary teams consisting of engineers, scientists, and clinicians to develop novel medical devices, algorithms, and human performance technologies. You will have the opportunity to apply classic signal/image processing and machine learning methods to large biomedical datasets (e.g., brain imaging, ultrasound imaging, wearable sensing), and develop and evaluate novel algorithms for a variety of applications in the medical and human health domains.  Candidates should be able to demonstrate the following:

 

• Technical expertise in the area of deep learning
• Demonstrated ability to work well on teams with members of diverse technical backgrounds
• Software development for extraction, conditioning, and exploration of biomedical datasets
• Technical expertise in an area of human physiology preferred
• Professional technical writing and presenting (e.g., technical reports, scientific publications, oral presentations)

 

Requirements:

M.S. or M.Eng. in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.  B.S. with 3 or more years of relevant experience will also be considered.

 

 

For Benefits Information, click http://hrweb.mit.edu/benefits

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: 40392