Postdoctoral Fellow - Decision Making Lab

Carnegie Mellon University
United States, Pennsylvania, Pittsburgh
5000 Forbes Avenue (Show on map)
Nov 10, 2024
The Dynamic Decision Making Laboratory www.cmu.edu/ddmlab at Carnegie Mellon University, has a new post-doctoral position available to start immediately. 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. This position will support the lab's projects on behavioral cybersecurity. Under this umbrella, we explore many issues of interest to cognitive science, computational cognitive modeling, and decision science. For example, we look at behavioral Game Theoretic algorithms of defense, and how those can/should be modified to account for human attacker's biases. To accomplish this goal, we study attacker's behavior and create cognitive computational models of the attacker's decisions. These models can serve to predict biases and measure cognitive biases to improve defense algorithms. The post-doctoral fellow 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 and the use of existent high fidelity cyber-ranges (i.e., CyberVAN - https://www.peratonlabs.com/cybervan.html 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. Required qualifications: Ph.D. (completed by start of employment) in cognitive science; human factors engineering, engineering or computer science with experience in behavioral science A technical background is required regardless of the Ph.D. degree; for example, a Ph.D. in social psychology with no experience in engineering or computational approaches 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 Desired 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 the following: CV Letter of interest 2 letters of recommendation (optional) a published paper Interested in this exciting opportunity? Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary 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