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What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Computational Biophysics, and why are they important?

To thrive as a Postdoctoral Researcher in Computational Biophysics, a strong background in physics, chemistry, or biology along with a PhD and advanced computational modeling skills is essential. Expertise in programming languages (such as Python, C++, or MATLAB), molecular dynamics software (like GROMACS or AMBER), and high-performance computing platforms is typically required. Excellent problem-solving abilities, collaboration, and effective scientific communication are standout soft skills in this field. These skills enable researchers to design, execute, and communicate complex simulations that advance understanding of biological systems and drive scientific discovery.

What is a Postdoctoral Position in Computational Biophysics?

A Postdoctoral Position in Computational Biophysics is a temporary research role for individuals who have recently obtained a PhD in a related field. In this position, researchers use computational tools and theoretical models to study biological systems at the molecular or cellular level. The work often involves simulating biomolecules, analyzing large datasets, and developing new computational methods to understand biological processes. These positions are typically held at universities or research institutes and are designed to provide further training and experience before pursuing a permanent academic or industry role.

What are some typical challenges faced by postdoctoral researchers in computational biophysics, and how can they be addressed?

Postdoctoral researchers in computational biophysics often encounter challenges such as integrating complex biological data with advanced computational models, staying current with rapidly evolving software tools, and balancing independent research with collaborative projects. These challenges can be addressed by proactively seeking interdisciplinary collaborations, attending workshops to enhance technical skills, and regularly consulting with mentors and peers. Establishing efficient workflows and participating in lab meetings also helps in managing time and staying aligned with research goals.
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Postdoctoral Researcher

Postdoctoral Researcher

Indiana University

Bloomington, IN • On-site

$60K/yr

Full-time

Posted 5 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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