Tech Staff - Neurocognitive and Human Communication Research 1

Date: Jun 3, 2022

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

Technical Staff Opening in Neurocognitive Analysis, Modeling, and Simulation

The Human Health & Performance Systems Group is searching for a  candidate to join the Neurocognitive and Human Communication Research Team and participate in projects related to speech analysis, hearing enhancement and protection, and spatial audio for augmented and virtual reality.  The candidate will assist in developing algorithms for active hearing-enhancement systems, brain computer interfaces, and detection and monitoring of health and stress conditions. A scientific basis for algorithm development will involve computational and mechanistic models of the speech, language and auditory pathways and their interplay with each other and with fine and gross motor movements, as well as multi-modal data collection and analysis.

 

 

Required Skills

Strong multimodal signal processing background, including experience with audio signals

Demonstrated real-world machine Learning implementations with MATLAB, Python, and/or C++

Publication record

 

 

Desirable Skills

Familiarity with the neuroimaging, brain computer interfaces, neurophysiological signal processing and modeling

Machine learning (scikit-learn, PyTorch, Tensorflow, Matlab)

Familiar with neural and physiological (or neurophysiological) mechanisms of speech and hearing, psychaocustics

 

The candidate should hold a PhD. in Electrical Engineering, Biomedical Engineering, Computer Science,  or a similar technical field.

 

For Benefits Information, click http://hrweb.mit.edu/benefits

 

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

 

To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees.  Individuals may request exemption from the vaccine requirement for medical or religious reason.

 

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: 36499 


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