[ACT-R-users] Post Doc Opportunity in Developing Cognitively Bounded Optimal Models

[Myers, Christopher W Civ USAF AFMC 711 HPW/RHAC]

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Postdoctoral Research Opportunity in Developing Adaptive Models that Operate
in Non-stationary Environments

Christopher Myers, PhD - Performance & Learning Models team, Air Force
Research Laboratory

 

I am conducting research that uses machine learning and control theory
techniques to model human performance and decision making within dynamic,
non-stationary environments. The work involves both human experiments and
computational modeling to help explain how humans adapt to changes in
dynamic, non-stationary, individual and collaborative task environments. I
am looking for a postdoctoral research associate interested in developing
cognitively bounded optimal models of visual search, multitasking, and
dyadic collaboration. The ideal candidate will have a background in machine
learning, cognitive science/cognitive psychology/mathematical psychology,
and/or control theory, and will have programming experience with R and/or
Python. Candidates must be a U.S. citizen or permanent resident.

 

The selected postdoctoral candidate will work with me in the Air Force
Research Laboratory's Performance & Learning Models team located at
Wright-Patterson Air Force Base in Dayton, Ohio.  AFRL's PALM team provides
a world-class environment for pursuing the application of computational
modeling methods to explaining human behavior. The PALM team's research is
focused on both basic and applied cognitive science research questions. The
goal is to develop psychologically valid "replicates" of human cognition
that can be used to improve the effectiveness and efficiency of human
training (e.g., as synthetic teammates, tutors, or training analysis tools).
To achieve these objectives, substantial research is required to understand
the components of cognition and how they combine to enable interaction in
complex, dynamic environments. Current projects are aimed at understanding
topics such as (1) human spatial information processing, (2) changes in
cognitive performance resulting from fluctuations in alertness, (3)
strategic adaptation to dynamic, non-stationary, complex and persistent
environments, & (4) developing technologies that can allow for the creation
of computational cognitive models of increased scale (that explain more
behaviors within a single system). We utilize a variety of research
methodologies, including traditional empirical psychological research, eye
tracking, and computational modeling.

 

If you are interested in pursuing this line of work as a postdoctoral
research associate, please contact me as soon as possible at:

Christopher.Myers.29 at us.af.mil

 

Cheers,

Chris

 

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

CHRISTOPHER MYERS, PhD

Research Psychologist

Performance & Learning Models Team

Cognitive Models & Agents Branch (RHAC)

711 Human Performance Wing

2620 Q Street, Bldg 852

Wright Patterson AFB OH 45433

 

 

E:  christopher.myers.29 [at] us.af.mil

O:  937-938-4059

C:  518-961-6868

 

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