Quantum Cognition Postdoc: Dynamic Decision Modeling

Indiana University Bloomington; Bloomington (IN); On-site; USD 51,000 - 69,000; Full time

Job summary

Indiana University Bloomington's Psychological & Brain Sciences invites applications for a Postdoctoral Researcher in Quantum and Classical Dynamics of Decision Making. Based at IU Bloomington, the role focuses on NSF-funded project integrating quantum probability with open-systems models to study how decisions evolve. You will develop theory, run computational models in Python, MATLAB, or R, test predictions, and collaborate with Dr.

Tim Pleskac and Dr. Jerome Busemeyer.

Qualifications

• Ph.D. preferably in Psychology or Cognitive Science, but strong candidates in CS, Physics, or related quantitative fields will be considered.
• Demonstrated expertise in mathematical or computational modeling and dynamical systems.
• Proficiency in Python, MATLAB, or R.
• Strong quantitative, analytic, and scientific writing skills.

Responsibilities

• Develop computational models of dynamic judgment and decision making using quantum probability, open-system dynamics, and classical Markov processes.
• Derive and test behavioral predictions that distinguish quantum, classical, and intermediate open-system dynamics.
• Design and analyze behavioral experiments probing dynamic decision processes, including interference and evidence-accumulation.
• Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, or related environments.
• Lead and co-author manuscripts, conference presentations, and dissemination of project findings.

Skills

Python

MATLAB

R

Computational modeling

Dynamical systems

Scientific writing

Education

Ph.D. in Psychology or Cognitive Science

Tools

Python

MATLAB

R

Job description

Indiana University Bloomington's Psychological & Brain Sciences invites applications for a Postdoctoral Researcher in Quantum and Classical Dynamics of Decision Making. Based at IU Bloomington, the role focuses on NSF-funded project integrating quantum probability with open-systems models to study how decisions evolve. You will develop theory, run computational models in Python, MATLAB, or R, test predictions, and collaborate with Dr.

Tim Pleskac and Dr. Jerome Busemeyer.