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Computational Social Science Postdoc Jobs (NOW HIRING)

Interos Inc.

Lead Computational Social Scientist

Role: Lead Computational Social Scientist   About interos.ai:  interos.ai is the standard for ... You will apply quantitative social-science methods to analyze global supply chains, financial ...

POWER USA

$125 - $150/hr

A graduate degree in computational social science, computer science, political science, sociology, psychology, economics, statistics, data science, communication, or another relevant quantitative or ...

Ucf

Postdoctoral Scholar

Orlando, FL · On-site

The Postdoctoral Scholars will play a central role in implementing the NCTI research program ... policy, computational social science, or a related discipline. Preferred Qualifications:

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How much do computational social science postdoc jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computational social science postdoc in the United States is $56,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $69,000.00 per year, depending on experience, location, and employer.

What is a computational social science postdoc?

A Computational Social Science Postdoc is a researcher who applies computational methods—such as data mining, machine learning, agent-based modeling, and network analysis—to study social phenomena. These postdoctoral researchers typically work at universities or research institutes, collaborating with interdisciplinary teams to analyze large-scale social data and address complex questions about human behavior, society, and technology. Their work often involves programming, statistical analysis, and the development of new computational tools or models. This role is ideal for individuals with strong quantitative skills and an interest in understanding social systems using innovative, data-driven approaches.

What types of interdisciplinary collaboration can a computational social science postdoc expect in their daily work?

Computational Social Science Postdocs often collaborate closely with researchers from diverse fields such as computer science, sociology, psychology, and economics. These collaborations may involve co-designing experiments, sharing data analysis techniques, and jointly publishing research findings. It’s common to work in multidisciplinary teams, attend regular meetings to align on research goals, and contribute computational expertise to projects led by social scientists. This environment fosters both learning and networking, providing valuable opportunities to broaden your skillset and research impact.

What are the key skills and qualifications needed to thrive as a computational social science postdoc, and why are they important?

To thrive as a Computational Social Science Postdoc, you typically need a PhD in a relevant field (such as social sciences, data science, or computer science) and a strong foundation in statistical analysis and social science theories. Proficiency in programming languages (like Python or R), experience with computational modeling, and familiarity with data analysis platforms and version control systems are essential. Excellent communication, interdisciplinary collaboration, and critical thinking skills help set candidates apart. These competencies are crucial for conducting impactful research, effectively analyzing complex datasets, and contributing to interdisciplinary academic teams.

What are popular job titles related to Computational Social Science Postdoc jobs?

For Computational Social Science Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Computational Social Science Postdoc job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $56,705 per year, or $27.3 per hour.

PostDoctoral Associate in Computational Social Science

Boulder, CO • On-site

Complex Systems Society
See more jobs at Complex Systems Societyexternal

$60 - $80/hr

Other

Posted 7 days ago

Job description

PostDoctoral Associate in Computational Social Science

PostDoctoral Associate in Computational Social Science at University of Colorado, USA

The research groups of Professors Daniel Larremore and Aaron Clauset at the University of Colorado Boulder are seeking exceptional candidates for a postdoctoral research associate, to work on an innovative project modeling the dynamics of the scientific ecosystem. This project will combine theories and methods from Computational Social Science, Statistical Inference, Dynamical Systems, Ecology, and Evolutionary Biology to better understand the way that science and knowledge production work.

The initial term of the position is one year, with the possibility of up to two renewals, and will begin as early as January 2020 and no later than August 2020.

Ideal candidates will have a strong mathematical, statistical, and computing background; a strong track record of innovative research and publications in selective venues; and expertise in computational social science, ecology, and/or data science. The project will focus on developing new statistical and mathematical models of the causal forces that shape the structure and dynamics of the scientific workforce, spanning individual researchers and their careers, competition among departmental units, and the evolution of entire fields. Our main tools are probabilistic models, random walks, causal inference, and statistical algorithms, coupled with ideas from statistical physics, social science, and ecology. Familiarity with one or more of these techniques is desirable, but is not a requirement.

Qualifications
  • A Ph.D. (or equivalent) in Applied Mathematics, Computer Science, Statistics, or Physics, or in a quantitative branch of Ecology, Sociology, or Computational Social Science, or in a similar field, conferred no later than August 2020
  • Education or training in statistics, data analysis, and programming
  • Strong communication and presentation skills
  • A commitment to working in an interdisciplinary and collaborative environment.

For additional information, please contact Dan Larremore daniel.larremore@colorado.edu or Aaron Clauset with subject line "Science of Science Postdoc".

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