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How much do postdoctoral network science jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral network science in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Network Scientist, and why are they important?

To thrive as a Postdoctoral Network Scientist, you need a strong background in network theory, data analysis, and advanced quantitative methods, usually supported by a PhD in a relevant field such as physics, computer science, or applied mathematics. Proficiency with programming languages like Python or R, experience using network analysis libraries (e.g., NetworkX, Gephi), and familiarity with statistical or machine learning tools are typically required. Strong problem-solving skills, critical thinking, and effective communication are essential for collaborating with interdisciplinary teams and conveying complex findings. These skills enable rigorous research, impactful insights, and successful contributions to both academic and applied network science projects.

What is the difference between Postdoctoral Network Science vs Postdoctoral Data Scientist?

AspectPostdoctoral Network SciencePostdoctoral Data Scientist
Required CredentialsPhD in Network Science, Computer Science, or related fieldPhD in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research institutesIndustry, tech companies, research labs
Employer & Industry UsagePrimarily academia and research institutionsPrimarily private sector and tech industry
Common Search & Comparison IntentUnderstanding academic research roles in network analysisExploring industry roles in data analysis and machine learning

Postdoctoral Network Science focuses on academic research in network analysis, often within universities and research institutions. In contrast, Postdoctoral Data Scientist roles are industry-focused, emphasizing data analysis, machine learning, and practical applications in tech companies. Both roles require advanced degrees but differ in work environment and industry usage, catering to different career paths in research and industry.

What are some common challenges faced by postdoctoral researchers working in network science, and how can they be addressed?

Postdoctoral researchers in network science often encounter challenges such as managing interdisciplinary collaborations, staying current with rapidly evolving computational tools, and balancing independent research with project team goals. To address these, it's important to actively communicate with collaborators from diverse backgrounds, participate in workshops or seminars to keep skills updated, and set clear research objectives in consultation with supervisors. Developing strong project management and networking skills also helps postdocs thrive in this highly collaborative and dynamic field.

What is a Postdoctoral Network Scientist?

A Postdoctoral Network Scientist is a researcher who has completed their PhD and conducts advanced research in the field of network science. Network science involves studying the structure and dynamics of complex networks, such as social, biological, or technological systems. Postdocs in this area typically analyze large datasets, develop mathematical models, and collaborate with interdisciplinary teams to understand the patterns and behaviors of interconnected systems. Their work often contributes to advancements in fields like epidemiology, neuroscience, or information technology.
Infographic showing various Postdoctoral Network Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Researcher

Postdoctoral Researcher

Indiana University School of Medicine

Bloomington, IN • On-site, Remote

$60K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Postdoctoral Researcher

Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University's Notice of Non-Discrimination here which includes contact information.

The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online. You may also request a physical copy by emailing IU Public Safety at iups@iu.edu

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:

  • Cover letter describing research interests and fit for the position
  • Curriculum vitae
  • A professional writing sample (e.g., publication or dissertation chapter)
  • 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.

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