Sr. Cognitive Engineering Specialist to conduct research and development in areas such as cognitive
3 weeks ago
Responsibilities:
Develop, administer, and analyse questionnaires and interviewing personnel (including high level decision makers).
Conduct on-site studies using configurable laboratory or military test-beds or in a field environment under operational conditions. Compiling, analysing and interpreting the results of these studies including any limitations of the results.
Apply Human Factors related standards and handbooks, e.g., MIL-STD-1472F, MIL-HBK-759C, MIL-HBK-46855.
Gather and organize artefacts.
Apply concept of System-of-Systems (SoS), human systems integration (HSI) and experience in applying HSI principles.
Conduct risk assessment and perform risk modelling. 6 Roth, E. M., Patterson, E. S., and Mumaw, R. J. Cognitive Engineering: Issues in User-Centered System Design. In J.J. Marciniak, Ed. Encylopedia of Software Engineering (2nd Edition). NY: John Wiley and Sons, 2002. Describes the use of CTA, CWA, ACWA, and computational cognitive modeling in the design of user-centered systems.
Must Have Skills:
10+ years of experience in Cognitive Engineering , or 5+ years of experience with a relevant Ph.D.
Conducting research and development in artificial intelligence and apply the results in areas such as cognitive modeling, training and decision-aiding for complex systems, human behavior simulation, intelligent-agent technologies, and eye-voice interfaces.
Conducting Social Network Analysis.
Developing intelligent training technologies, advanced human-computer interaction technologies, and human behavioural models.
Conducting cognitive task analysis and develop executable human behavioural models.
Managing and provide technical leadership for cognitive engineering projects.
Designing, conducting, and analyzing a broad range of defence and security experiments, including specific psychological, and/or social-psychological and/or organizational issues in individual and team performance.
Identify and decompose high level MOEs and MOPs and propose means of obtaining data for MOE and MOP measurement.
Design and develop models in support of experiment design including competence working with software development tools.
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