Postdoctoral Researcher in Artificial Intelligence and Human-Computer Interaction
Description: Air Force Institute of Technology (AFIT) is inviting applications for a postdoctoral research position. The successful candidate will work on an interdisciplinary research project studying human-machine teaming. The researcher will help to develop state-of-the-art methods and models to automatically recognize the roles taken by human teammates and to adapt the role of an automated agent in response to human behavior. The primary responsibility will be producing top-quality published research in areas of interest to you and AFIT Human-Machine Teaming Researchers. The successful candidate will serve as technical lead for an Air Force Office of Scientific Research project seeking to provide methods for to enable human-machine teams, involving multiple graduate (MS and PhD) students.
The ideal candidate will have research experience in areas of Artificial Intelligence (e.g. Statistical Machine Learning) and/or Human-Computer Interaction. They will develop novel methods to describe human teaming behavior, particularly as it relates to roles and to permit autonomous agents to dynamically assume roles based upon changes in human, system or environment. Methods and results will be published in high impact Computer Science and Human Interface venues and through collaboration with Computer Science, Human Factors and Systems researchers within the Air Force Institute of Technology, as well as, colleagues across the Air Force Research Laboratories.
• US Citizenship
• PhD in fields related to Artificial Intelligence and HCI.
• Writing/publication experience in academic journals
• Ability to plan and execute independent research
• Ability to work in teams and mentor junior members in the art of research
Desired Research Area Expertise (one or more of the following): Statistical machine learning; agent-based systems; cognitive modeling, human-machine teaming.
Interested candidates can contact Dr. Michael Miller at firstname.lastname@example.org for further information.