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MIT Lincoln Laboratory Summer Research Program Intern 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

The Bioengineering Systems and Technologies Group is seeking summer interns to contribute to the 2019 MIT Beaver Works Summer Institute (BWSI) Medlytics program: Data Science for Health and Medicine.

The MIT Beaver Works Summer Institute is a rigorous, world-class STEM program for talented rising high school seniors. For more information on BWSI and the Medlytics program visit: https://beaverworks.ll.mit.edu/CMS/bw/bwsi

Interns will spend four weeks working at MIT Lincoln Laboratory to establish familiarity with the curriculum, develop novel software and hardware applications, and build solutions to challenging machine learning problems. Afterwards, interns will spend four weeks (July 9-August 5) on campus co-instructing the courses alongside Lincoln Laboratory staff.

Tasks for the Medlytics program include the following:

  • Improving existing course content for robustness and usability

  • Creating templates and prototyping solutions for weekly challenge problems

  • Developing and implementing novel hardware solutions and machine learning algorithms

  • Co-instruction of course material to top high school students from across the nation

Position Requirements:

  • Current undergraduate students in Computer Science, Physics, Electrical Engineering, Mathematics or other technical field, coupled with the demonstrated ability to apply talents to new fields.

  • Demonstrated excellence in communication skills and the ability to convey technical concepts in a clear, concise manner to a wide spectrum of audiences are required.

  • Familiarity with machine learning concepts.

  • Significant experience with mathematical and object-oriented programming (preferably in Python).

  • Enthusiastic interest in course development and educational instruction.

  • Ability to start summer employment no later than June 10, 2019.

Desired Skills:

  • Experience with Python, Git, and Jupyter.

  • Familiarity with advanced machine learning (e.g., neural networks).

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]]

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