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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, medical technologies, and language learning. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, speech and hearing science, neuroscience, psychology, biomechanics, computer science, engineering, linguistics, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced multi-modal sensing and signal processing, machine learning and artificial intelligence, computational modeling of perception/action human systems, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.

Job Description

• Collaborate within interdisciplinary teams to design and optimize multi-modal platforms that integrate various biomedical signal measurements

• Develop and implement algorithms for analysis of eye movement, pupillometry, electroencephalography, speech, and movement data

• Conduct real-time and offline signal processing of experimental data, ensuring high accuracy and efficiency in data handling

• Utilize machine learning techniques, including neural networks and large-language models, to enhance signal processing capabilities and data interpretation

• Conduct comprehensive literature reviews to stay informed on current trends and advancements in neuro-physiological signal processing, human-machine teaming, and medical diagnostics, while integrating findings into ongoing projects

Requirements

• A Masters in Biomedical Engineering, Electrical Engineering, Mathematics, Computer Science, Biology, Neuroscience, or related field. We will consider applicants with a Bachelors’ degree having at least 2 years of relevant work experience

• Proficiency in programming languages like Python, MATLAB, or C/C++ for algorithm development and simulation

• Solid understanding of signal processing, physiological data modeling, statistics, machine learning, and artificial intelligence concepts

• Experience with Human Subjects Research is preferred

• Excellent problem-solving skills and the ability to work collaboratively in a team

• Effective communication skills to present complex technical concepts to diverse audiences

• A passion for innovation and a desire to contribute to advancements in biomedical technologies

  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!

  Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

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.

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