MIT Lincoln Laboratory - Lexington, MA

posted about 1 month ago

Full-time - Entry Level
Lexington, MA
Professional, Scientific, and Technical Services

About the position

The Human Health & Performance Systems Group at MIT Lincoln Laboratory is seeking a candidate to collaborate within interdisciplinary teams to design and optimize multi-modal platforms that integrate various biomedical signal measurements. The role involves developing algorithms for analyzing diverse data types, conducting real-time signal processing, and utilizing machine learning techniques to enhance data interpretation. The position requires staying informed on advancements in neuro-physiological signal processing and integrating findings into ongoing projects.

Responsibilities

  • 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.

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.

Nice-to-haves

  • Experience with Human Subjects Research is preferred.

Benefits

  • 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
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