Human-Machine Systems Post-Doc
The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, is located midway between Baltimore and Washington, DC. The Research & Exploratory Development Department (REDD) at the Johns Hopkins University Applied Physics Laboratory (APL) recently stood-up a new technical group, the Intelligent Systems Group (ISG). The ISG is a multidisciplinary team of scientists and engineers focused on developing the next generation of intelligent systems for the U.S. Government. The current emphasis of the ISG is on machine learning, autonomy, applied neuroscience, and robotics. The ISG is seeking a Human-Machine Systems Post Doc to work in collaboration with ISG Staff.
The Intelligent Systems Group within the Research and Exploratory Development Department is seeking a highly skilled and motivated Human-Machine Systems Post Doc to lead and/or support efforts focusing on human-machine collaboration and human-machine teams, with a focus on autonomous and robotic systems, including the application of cognitive engineering and systems engineering in modeling and developing mechanisms for interaction, trust, collaborative judgment, and decision making.
Duties (Listed in order of importance with the estimated amount of time spent at each task):
- Develop, support, and lead cognitive engineering research efforts for understanding, developing, and evaluating mechanisms for human-machine collaboration and related human-human activities, focusing on scenarios with autonomous and robotic systems. Develop analytical frameworks and social models for anticipating human behavior, developing appropriate trust, optimizing decision-making structures and social organization, and improving human-machine interaction. Integrate cognitive engineering approaches and considerations into systems engineering processes and autonomous and robotic systems development. (35%)
2) Develop, support, and lead efforts for human subjects studies for evaluating human and machine behavior, system performance, and group social dynamics in human-machine interaction and teaming scenarios. Maintain human subjects training certification and assist in maintaining and/or modifying materials for the Institutional Review Board (IRB) (25%)
3) Acquire data from human-human and human-machine models and subjects studies, design and implement data preprocessing and analysis routines, interpret and statistically analyze collected data utilizing semi-automated and automated methods, and form conclusions (25%).
4) Work with sponsor organizations to communicate impact of research, develop concepts of operation with mission relevance. (10%)
5) Write scientific manuscripts and whitepapers summarizing results for conferences and peer review journals. (5%)
Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.Required Qualifications:
Ph.D. Degree in Cognitive Engineering, Systems Engineering, Human Systems Engineering, Human Systems Integration, Cognitive Science, Engineering Psychology, Organizational or Social Psychology, Biomedical Engineering, Industrial Engineering, or equivalent. Experience with Cognitive Engineering, Human Systems Integration, or Human Factors Engineering. Research experience in human interaction and collaboration with complex or intelligent systems. Experience in designing and conducting human subjects research focused on human interaction that may include direct observation, survey instruments, or biometric data acquisition devices. Experience in quantitative and qualitative data analysis methodologies, statistical analysis, and data management. Excellent written and oral communication skills; ability to articulate complex technical issues effectively and appropriately for a wide range of audiences.
Demonstrated success with human subjects testing including IRBs. Expertise in the design, development and implementation of behavioral studies and human interaction studies, especially in groups of individuals or with humans and machines. Experience in developing analytical frameworks and models for helping to predict behavior in human-human and human-machine interactions. Expertise in the design, development and implementation of data processing algorithms/systems, utilization of signal processing tools, and experience with programming languages such as Matlab, Python, Java/C#/C .
Special Working Conditions: Type special working conditions (travel, working in closed areas, extended hours) here.
Security: Eligibility for a Secret level clearance is required. Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.
Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
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