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What are the key skills and qualifications needed to thrive as a Summer Computer Vision Postdoc, and why are they important?

To thrive as a Summer Computer Vision Postdoc, you need a strong background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), image processing libraries (like OpenCV), and version control systems (e.g., Git) is essential. Excellent problem-solving abilities, research communication skills, and the ability to collaborate with multidisciplinary teams will make you stand out in this role. These skills ensure you can effectively develop novel algorithms, communicate findings, and contribute to advancing the state of computer vision research.

What are the typical challenges faced by a Summer Computer Vision Postdoc working in a research environment?

As a Summer Computer Vision Postdoc, you may encounter challenges such as adapting quickly to new research topics, handling large and complex datasets, and optimizing algorithms for practical performance. Collaboration with interdisciplinary teams is common, requiring clear communication of technical concepts to colleagues from diverse backgrounds. Additionally, you will likely balance multiple projects within a limited timeframe, making effective time management and prioritization essential for success.

What is a Summer Computer Vision Postdoc?

A Summer Computer Vision Postdoc is a temporary research position, typically lasting a few months over the summer, for individuals who have recently earned a PhD in a relevant field such as computer science or electrical engineering. The role focuses on conducting advanced research in computer vision, which involves enabling computers to interpret and process visual information from the world. Postdocs work alongside faculty and research teams, contributing to projects, publishing papers, and gaining additional experience before pursuing faculty positions or industry roles. These positions often emphasize innovation, collaboration, and the practical application of state-of-the-art computer vision techniques.
What are the most commonly searched types of Computer Vision Postdoc jobs in Indiana? The most popular types of Computer Vision Postdoc jobs in Indiana are:
What are popular job titles related to Summer Computer Vision Postdoc jobs in Indiana? For Summer Computer Vision Postdoc jobs in Indiana, the most frequently searched job titles are:
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What cities in Indiana are hiring for Summer Computer Vision Postdoc jobs? Cities in Indiana with the most Summer Computer Vision Postdoc job openings:
Summer Computer Vision Postdoc jobs near you
Postdoctoral Researcher

Postdoctoral Researcher

Indiana University

Bloomington, IN • On-site

$60K/yr

Full-time

Posted 11 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Researcher
Appointment Status
Non-Tenure Track
Department
IU Bloomington Psychological & Brain Sciences
Location
Bloomington
Position Summary
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.
Job Duties
80% - Research
  • 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.

10% - Project Management
  • 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.

10% - Other Duties
  • Assist with dissemination activities, lab meetings, mentoring of junior researchers, and other project-related tasks as needed.

Required Qualifications
  • 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.

Preferred Qualifications
  • 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.

Work Environment
The postdoc will be embedded in two leading research ecosystems:
The IU Behavioral Science Lab (Psychological & Brain Sciences)
A major center for judgment and decision-making research, evidence accumulation modeling, and computational cognitive science.
The Luddy School of Informatics, Computing, and Engineering
A top-tier program in computer vision, machine learning, and multimodal analytics.
The researcher will benefit from access to IU's state-of-the-art computing resources, weekly interdisciplinary meetings, and strong mentorship from both PIs.
Appointment Details
  • Anticipated Start Date: Spring or Summer 2026 (flexible)
  • Salary: $60,000 + benefits
  • Work Schedule: Full-time, on-campus
  • Supervisors: Dr. Tim Pleskac and Dr. David Crandall
  • Initial Appointment: 1 year, with expectation of renewal for a second year based on performance and funding

Application Instructions
Interested individuals should apply at https://indiana.peopleadmin.com/postings/31525.
A complete application includes:
  1. Cover letter describing research interests and fit for the position
  2. Curriculum vitae
  3. A professional writing sample (e.g., publication or dissertation chapter)
  4. Names and contact information for three references

Applications received by (1/9/2026) will receive full consideration, however the search will remain open until a suitable candidate is found.
Basic Qualifications
  • 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.

Department Contact for Questions
Dr. Tim Pleskac (tpleskac@iu.edu)
Additional Qualifications
  • 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.

Salary and Rank
$60,000
Special Instructions
For Best Consideration Date
01/09/2026
Expected Start Date
03/01/2026
Posting Number
IU-101433-2025

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