Postdoctoral Fellow - Dynamic Decision Making Laboratory

Carnegie Mellon University

Job Description

Postdoctoral Fellow - Dynamic Decision Making Laboratory

The dynamic decision making laboratory ( at Carnegie Mellon University has a new post-doctoral position available! This is a full time research position with benefits, for one year with a possibility of renewal for one additional year conditional on performance and availability of funds.
A new post-doctoral fellow will support the projects on human-machine teaming. Under this umbrella, we explore many issues of interest to cognitive science, computational cognitive modeling, and decision science. For example, Theory of Mind (ToM) and the computational representation of ToM; trust in AI and adoption of recommendations; and human-AI collaboration and coordination, among many other themes. These themes take place in various applied settings such as intelligence analysis, cyber security, phishing detection, and search and rescue scenarios.
In this position you will need to be familiar with experimental research and with cognitive computational modeling. A post-doctoral fellow will be involved in the design and implementation of interactive web-based experimental studies with one or more (networked) agents (either humans or models). The post-doctoral fellow will also engage in the development of computational models of individual and collective behavior; paying special attention to cognitive modeling methods in cognitive science such as cognitive architectures, Instance-Based Learning models, Reinforcement Learning, and Bayesian approaches.


  • A Ph.D. (completed by start of employment) in cognitive science or behavioral psychology, human factors engineering, or equivalent.
  • Technical background is required; for example, a Ph.D. in social psychology with no other degree in Engineering or Computer Science would not be acceptable.
  • Experience with programming (preferably Python, Java, Javascript, PhP, and others)
  • Training in behavioral science research methods and statistical analyses.
  • Experience with statistical software (preferably R, others acceptable).
  • Experience with computational/cognitive modeling (e.g., reinforcement learning, ACT-R models, IBL models).
  • Demonstrable writing abilities through publications and good communication skills.

Preferred qualifications:

  • Experience with client-server web programming and design.
  • Experience working with interdisciplinary, collaborative teams, and managing research assistants.

Flexibility, excellence, and passion are vital qualities within the Dynamic Decision Making Lab. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

To Apply, please submit:

  • CV
  • Letter of interest
  • 2 letters of recommendation
  • (optional) a published paper

Interested in this exciting opportunity? Apply today!

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Staff and faculty must comply with all applicable COVID-19 mitigation requirements. Please see Minimum Requirements to Return to Campus for details regarding the university’s current COVID-19 mitigation requirements.


Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis


More Information:

  • Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

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