Biomedical Signal Processing & Systems Engineer

Key Skills

Audio signal processing, Biomedical Imaging, C++, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scikit-learn, Statistics, TensorFlow

Job Description

The Human Health & Performance Systems Group is searching for a candidate to join the Neurocognitive Technologies team and lead aspects of projects related to detecting, monitoring, and rehabilitating psychological, neurological and sensory (e.g., auditory, visual, vestibular) disorders, neurotrauma, and cognitive overload and fatigue. The signal processing aspect of the work involves innovating new approaches to analyzing human data over time, including physiological data, EEG data, and vocal biomarker data. The systems engineering aspect of the work could include initial system development analysis, such as elicitation of user information, formalizing this information in the form of workflow analyses & personas, and translating this information into technology development requirements. Other human system integration work could include performing fieldwork to aid the evaluation of technologies, creating technology evaluation plans, developing human-subjects institutional review board materials, and integrating the resulting information into analyses and technology development prioritizations.

The candidate will lead the development and operationalization of neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis.

Job Description

The Human Health & Performance Systems Group is searching for a candidate to join the Neurocognitive Technologies team and lead aspects of projects related to detecting, monitoring, and rehabilitating psychological, neurological and sensory (e.g., auditory, visual, vestibular) disorders, neurotrauma, and cognitive overload and fatigue. The signal processing aspect of the work involves innovating new approaches to analyzing human data over time, including physiological data, EEG data, and vocal biomarker data. The systems engineering aspect of the work could include initial system development analysis, such as elicitation of user information, formalizing this information in the form of workflow analyses & personas, and translating this information into technology development requirements. Other human system integration work could include performing fieldwork to aid the evaluation of technologies, creating technology evaluation plans, developing human-subjects institutional review board materials, and integrating the resulting information into analyses and technology development prioritizations.

The candidate will lead the development and operationalization of neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis.

Requirments

• Background is desired one or multiple other areas of expertise, including neuroscience (preferably modeling of neuro-motor and sensory systems and the neural basis of speech perception and production and vision), computer science (interface design & development), data science (statistical approaches and machine learning), psychology (human applied human subjects data collection and/or cognitive/perceptual/clinical psychology).
• Background is required in human signal processing and systems engineering.
• Experience working with engineering development teams and communicating within an interdisciplinary development environment is desired.
• Candidate should also demonstrate comfort working with technical tools that may include programming with MATLAB, Python, and/or C++, statistical analysis (e,g., R) or machine learning (scikit-learn, PyTorch, Tensorflow) toolsets.
• Candidate should a hold a Ph.D. or similar experience in Biomedical Engineering, Industrial/Mechanical Engineering, Systems Engineering, Computer Science, or a similar scientific or technical field.

For Benefits Information, clickhttp://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.