The Informatics and Decision Support Group develops advanced software systems, analytics, and human systems interface solutions to improve the timeliness, confidence, and optimality of decisions. The Group emphasizes human-in-the-loop distributed and collaborative decision making and analytics over big, heterogeneous, data sets. The application areas for the Group are diverse and include military deployment and distribution services, health informatics, security and intelligence, transportation security, chemical and biological defense, and disaster management. The technology focus for the Group includes software architectures and systems, video analytics, serious games, information mining and fusion, human factors, and natural language processing. The Group's projects encompass and influence activities from early problem definition and system concept definitions, to prototype development and operator evaluations.
Candidate will aid in the design and evaluation of serious game tools as well as the requirements elicitation and testing of other homeland security relevant systems. Candidate will have the opportunity to work on impactful, critical national security problems and see the systems transition to operation. Strong understanding of human experimental design, cognitive engineering, and systems analysis is desired.
The candidate must possess a Ph.D. (or M.S. with experience) in engineering, computer science, psychology, cognitive science, human factors or equivalent field.
Solid understanding and experience with human experimental design and systems analysis methods.
Excellent oral and written communication skills, the ability to work well on a team and individually, with the ability to multi-task.
Prior experience in system requirements elicitation and working on an interdisciplinary engineering design team is strongly desired.
Experience performing cognitive work analyses, formally modeling human behavior (e.g., in ACT-R), and translating these models into design requirements.
Understanding of software development and data analytics (e.g., R or Python) is strongly desired.
Prior experience working with complex sociotechnical systems desired.
D. candidates are required to have more extensive human machine interface design/development, systems analysis, and experimental design experience.
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.