What are the responsibilities and job description for the Biomedical Deep Learning & Signal Processing Engineer position at Lensa?
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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 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:
M.S. or M.Eng. in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree. B.S. with 5 or more years of relevant experience will also be considered.
Benefits
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
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: [[id]]
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 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 varied technical backgrounds
- Software development for extraction, conditioning, and exploration of biomedical datasets
- Technical expertise in an area of human physiology
- Professional technical writing and presenting (e.g., technical reports, scientific publications, oral presentations)
M.S. or M.Eng. in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree. B.S. with 5 or more years of relevant experience will also be considered.
Benefits
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (including vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- A range of work-life balance options
- ... and much more!
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: [[id]]
