MIT Lincoln Laboratory CO-OP Student in Lexington, Massachusetts
Group 48—Bioengineering Systems and Technologies
The Bioengineering Systems and Technologies Group seeks to improve the performance of human-centered missions through preventing injury and disease, improving sensing and identification of people and their environment, and speeding rehabilitation and recovery. This goal is accomplished through four broad technical areas: biomedical sensing, neurocognitive technologies, synthetic biology, bioinformatics and biometrics/forensics. Biomedical sensing includes advanced sensors, algorithms, modeling, prototyping, and field testing of technologies to diagnose disease, predict outcomes, avoid injuries, and monitor and enhance human performance. Our applied neurocogntive research enables objective, technology-based enhancements to neurological, cognitive, & psychological health, performance and recovery. The three main neurocognitive goals include increasing cognitive and psychological performance and resilience; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration; and developing human-machine interfaces for enhanced performance and communication. The synthetic biology research area emphasizes the development of tools and techniques that will greatly speed the design, evaluation, and assessment of genome-wide engineering approaches through highly integrated microfluidic devices. Bioinformatics is applied across the group to uncover signatures in high-throughput genomic, transcriptomic, and proteomic data sets. Biometrics and forensics research is developing technologies and systems for human identification, including rapid DNA analysis, standoff biometric sensing, scientific validation of forensic techniques, and integrated architecture analyses. This highly interdisciplinary group draws on skills from biology, biochemistry, biosignal processing, neuroscience, cognitive science, engineering, computer science, physics, and medical research areas. Primary government sponsors are in the Departments of Defense, Homeland Security, and Justice, as well as the National Institutes of Health.
Job Description: Candidate will contribute to analyzing physiological data, such as accelerometry, heart rate and skin temperature, collected from hundreds of test subjects in the field with wearable monitors. The goal is to develop analytics that will improve safety and performance of people working in extreme environments. The candidate will assist with software development to support the creation of a wearable sensor data analysis tool kit.
Requirements: The candidate is a student in a B.S. or M.S. program in Bioengineering, Electrical Engineering, Computer Science, or other relevant science or math program. Experience or classwork in a common programming language is required. Proficiency in Matlab is strongly desired. Interest in and exposure to biomechanics, data analysis, signal processing, machine learning, deep learning, and/or human subject research is a plus.