• MIT Lincoln Laboratory
  • Revere , MA
  • Pharmaceutical/Biotechnology
  • Full-Time
  • 69 Rose St

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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

Co-Op Student Biomedical Image Processing

Job Description:

This internship position will appeal to candidates with a strong interest in wearable device design and fabrication. The Bioengineering Systems and Technologies Group at MIT Lincoln Laboratory seeks a co-op student to support a diverse multidisciplinary team that is developing and prototyping novel capabilities for physiological monitoring and behavioral analysis. The main responsibilities of the individual include embedded programing with microcontrollers, mechanical design, rapid prototyping using 3D printers, and basic circuit design. Other aspects of the work include assistance with prototype testing and pilot data collection. The individual will work closely with experts in hardware and circuit design, signal and image processing, and algorithm development.

Requirements:

Candidates should be working toward or already have a BS or MS degree in one of the following fields, or a related field: Mechanical Engineering, Bioengineering, Electrical Engineering, or Computer Science. Must have demonstrated experience in SolidWorks and microcontrollers. Must be proficient in one or more common programming languages such as Matlab, C or Python. Knowledge of circuit design is desired.

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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.

All employees at Lincoln Laboratory are required to obtain and maintain a security clearance, which requires U.S. citizenship.

Requisition ID:26616


Associated topics: doctoral, drug discovery, fellow, fellowship, laboratory, postdoctoral, professor, research, research fellow, toxicologist

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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