Postdoctoral Researcher

Indiana University Academic Positions • Bloomington, IN

7d • $60,000 • Onsite

About The Position

Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision making that incorporate dynamic scene features, pose tracking, and eye-tracking data collected from an immersive police shooting simulator. The position is based at Indiana University Bloomington, with opportunities for collaboration with Michigan State University, and IU’s network in cognitive modeling, AI, and human–AI decision research. This postdoctoral appointment is full-time and on-campus.

Requirements

• Ph.D. in Psychology, Cognitive Science, Computer Science, Data Science, Neuroscience, or a related field by the start date.
• Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning.
• Proficiency in Python, MATLAB , or R.
• Strong quantitative and analytic skills.

Nice To Haves

• Experience with evidence-accumulation models ( DDM , sequential sampling, Bayesian models).
• Experience with computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow).
• Experience with eye-tracking data collection or analysis.
• Familiarity with deep learning frameworks (PyTorch, TensorFlow).
• Experience working with multimodal datasets (video, gaze, motion, behavioral responses).
• Background or interest in decision making under uncertainty, social decision dynamics, or human–AI interaction.

Responsibilities

• Lead development of computational models of judgment and decision making, including evidence accumulation models, social drift-diffusion models, and hybrid models integrating computer-vision–derived features.
• Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with computer vision researchers.
• Analyze large multimodal datasets (simulator videos, eye-tracking videos, joint motion trajectories).
• Lead and co-author manuscripts and conference presentations.
• Work directly with the PIs to ensure efficient progress toward research objectives.
• Coordinate research tasks across undergraduate RAs, graduate students, and collaborating labs.
• Oversee data processing workflows, documentation, and reproducibility pipelines.
• Assist with dissemination activities, lab meetings, mentoring of junior researchers, and other project-related tasks as needed.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees