CO-OP Student

Date: Jun 6, 2021

Location: Lexington, MA, US

Company: MIT Lincoln Laboratory

The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. This goal is accomplished through three broad technical areas: health and resilience monitoring, trauma care, and performance enhancement. Research in all areas includes capability gap analysis, advanced sensing, machine learning and artificial intelligence algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance. Typical goals include increasing physical, cognitive and psychological performance and resilience of end users in their operational environments; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration of end users after exposure; and developing human-machine interfaces for enhanced end user performance and communication within groups. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

Job Description

Job Description:
The candidate will participate in projects to develop automated and semi-automated systems for classification, segmentation, and target detection in biomedical imagery, including ultrasound, microscopy, and x-ray/CT. These projects are in support of the group’s efforts in algorithm development for AI-enhanced medical image processing, medical devices, and more broadly, biomedical research. The candidate will process large biomedical image databases, prepare data for machine learning, develop machine learning algorithms, evaluate performance, and implement data visualization tools.

Requirements:
The candidate is a student in a B.S., M.S., or Ph.D. program in Bioengineering, Electrical Engineering, Computer Science, or other relevant engineering, science, or math program. Proficiency in MATLAB is required. Experience with Python is strongly desired. Experience with JavaScript, Android, or general user interface development will also be considered favorably. Interest in and exposure to machine learning, deep learning, statistical pattern recognition, and/or image processing is a plus.


Nearest Major Market: Boston

Job Segment: Biomedical Engineering, Physics, Bioengineering, Biotech, Engineer, Engineering, Science