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Postdoc Python information

What are some common challenges postdoctoral researchers face when working with Python in academic research?

Postdoctoral researchers using Python often encounter challenges such as integrating Python with legacy codebases written in other languages, managing complex dependencies and environments, and ensuring reproducibility of research results. Collaborating with interdisciplinary teams may also require adapting code for different data formats and computational needs. Staying up-to-date with the latest Python libraries and best practices is crucial, as is documenting code so that it can be easily understood and used by other researchers.

What does a Postdoc Python do?

A Postdoc Python is a postdoctoral researcher who specializes in using the Python programming language for scientific research, data analysis, or software development. They typically work in academic or research settings, contributing to ongoing projects, developing computational tools, and publishing their findings. Their work may involve collaborating with other scientists, mentoring students, and advancing research through innovative coding and data analysis techniques. Proficiency in Python allows them to tackle complex problems in fields like bioinformatics, physics, engineering, and more.

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

To thrive as a Postdoc Python, you need a PhD in a relevant field, strong research experience, and advanced proficiency in Python programming. Familiarity with data analysis libraries (like NumPy, pandas, and SciPy), version control systems (such as Git), and computational tools is typically required. Critical thinking, problem-solving, and effective communication help differentiate outstanding candidates in collaborative and interdisciplinary environments. These skills ensure that complex research projects are executed efficiently, reproducibly, and with meaningful scientific contributions.

What is the difference between Postdoc Python vs Data Scientist?

AspectPostdoc PythonData Scientist
Required CredentialsPhD or equivalent in relevant field, strong Python skillsBachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, consulting firms
Industry UsageResearch projects, academic publicationsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonPostdoc Python vs Data Scientist

While both roles require strong Python skills, a Postdoc Python typically focuses on research and academic projects, often requiring a PhD. In contrast, a Data Scientist applies Python in industry settings to analyze data, build models, and support business goals. The work environment and career paths differ, with Postdocs leaning toward academia and Data Scientists toward industry roles.

What are popular job titles related to Postdoc Python jobs in Indiana? For Postdoc Python jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Postdoc Python jobs in Indiana look for? The top searched job categories for Postdoc Python jobs in Indiana are:
What cities in Indiana are hiring for Postdoc Python jobs? Cities in Indiana with the most Postdoc Python job openings:
Postdoc Python jobs near you
Postdoctoral Researcher

Postdoctoral Researcher

Indiana University

Bloomington, IN • On-site

$60K/yr

Full-time

Posted 18 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

Apply