Location (Desired): Dayton, OH
A description of the work:
- Identify factors that affect operator aptitude requirements in jobs involving high levels (i.e., peer-to-peer) of human machine teaming (e.g., technology, mission objectives, working conditions), especially those with high levels of automation and autonomy
- Identify entry-level aptitude requirements (skills, abilities, and other characteristics [SAOCs]) for jobs with high levels of human-machine teaming, autonomy, and automation
- Determine which of these critical entry-level SAOCs can be measured by existing DOD tests, and where additional assessment methods should be developed
- Conduct studies to examine the relationships between identified critical entry-level SAOCs and performance on tasks requiring high levels of human-machine teaming (i.e., peer-to-peer teaming)
- Demonstrated experience in managing large-scale behavioral and social science applied research efforts, preferably in a military environment. These may include personnel test development and validation, development of personnel learning systems, personnel policy research, and development of organizational (e.g., unit, team) effectiveness measures
- Specialized experience/expertise in:
- Analytical project development from inception to conclusion
- Providing guidance and direction
- Management and control of funds and resources
- Managing contracts
- Employee selection practices (following standards and procedures as required by Department of Defense Federal Acquisition Regulations (DFARS) Clause 252.235-7004 and Department of Defense Instruction (DoDI) 3216.02 Paragraph 4)
- Ph.D. in related scientific/technical fields (e.g. Psychology, Human-Systems Integration, and Human Factors)
The work can probably be done at any of their locations (see https://www.dcscorp.com/locations/), but desired location would be Dayton, OH.
Anyone interested should reach out directly to the hiring manager, Kyle Behymer, at firstname.lastname@example.org or 937-713-7197.