Asst Staff - Engineering

Date: Jun 13, 2019

Location: MA, US

Company: MIT Lincoln Laboratory

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 five 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

 Position Description:

This position requires an engineer or computer scientist to contribute to developing biosignal and image processing and machine intelligence algorithms for bioengineering applications.  Candidates should be capable of surveying the literature, identifying relevant technical approaches, proposing novel methods, and implementing and evaluating performance on large, real data sets.  Examples of raw waveform data include, but are not limited to, electrocardiography, electromyography, capnography, photoplethysmography and near-infrared spectroscopy. Example imagery includes ultrasound, optical microscopy, and hyperspectral imaging. Applications typically involve fusing multimodal data to generate actionable information that will improve human performance and safety, improve medical care in the field, inform interventions, and guide public health decisions. The work involves prototyping and may involve implementation on Lincoln Laboratory’s supercomputing facility.


The candidate must possess a BS in biomedical- or bioengineering, electrical engineering, computer science, mathematics, or an equivalent field.  Prior coursework or intern experience with signal and image processing and machine intelligence algorithms is required.  Familiarity with biology and physiology is desired. Proficiency with Matlab, Octave, or Python development environments is strongly desired, as is experience with common signal and image processing, statistics, and  deep learning open-source tools.

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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.

Requisition ID: 26339 

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