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Computational Social Science Postdoc Jobs (NOW HIRING)

Computational social scientists, data scientists or analysts, and data journalists may all be competitive applicants if they have drive and vision for advancing Penn MEDIATED's mission. The Research ...

We are seeking researchers from computational STEM disciplines-as well as computationally intensive social sciences and humanities-to bring the rigor of real-world research into AI evaluation. In ...

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

Posting Number SP005253P Position Title Postdoctoral Fellow Division/College College of ... engineering, geography, computational social science, or a related field with a focus on ...

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

Posting Number SP005253P Position Title Postdoctoral Fellow Division/College College of ... engineering, geography, computational social science, or a related field with a focus on ...

Design hybrid architectures that combine large language models with classical methods from computational social science, psychometrics, and survey methodology * Build rigorous evaluation frameworks ...

Bachelor's degree in Statistics, Data Science, Computational Social Science, Quantitative Psychology, or a related field. * Strong proficiency in statistical analysis methods, including clustering ...

Showing results 21-40

Computational Social Science Postdoc information

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$27.5K

$56.7K

$140K

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

As of Sep 10, 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.

Research Scientist, Social Simulation and Agents, DeepMind

San Francisco, CA • On-site

Google Inc.
Software Development • 10K+ employees

Other

Posted 11 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Research Scientist, Social Simulation and Agents, DeepMind

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA.

  • PhD in Computer Science, Computational Social Science, Statistics, or a related field.
  • 2 years of experience publishing research in machine learning or NLP conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, COLM).
  • 2 years of experience in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computational social science, or natural language understanding.
Preferred qualifications:
  • 3 years of experience with training, evaluating, and interpreting large language models.
  • Experience working with large and noisy datasets.
  • Experience collaborating across interdisciplinary fields.
  • Experience designing and executing independent research projects.
  • Passion for research on societal benefits and implications of the internet and AI with a focus on simulation.
About the job

We are looking for a Research Scientist to develop cutting-edge social simulation techniques powered by large language models. This role focuses on building computational frameworks of human simulations that are (1) accurate and predictive of real-world behavior, judgements, and opinions, (2) representative of societal diversity, and (3) scalable: simulating individuals to large groups and societies. Key responsibilities include formulating metrics and validation methods, developing frameworks for multimodal environments, collaborating with product teams to drive research, and publishing high-impact research in top AI and social science venues.

You will join an interdisciplinary team of domain experts, machine learning researchers, social scientists, and engineers to conduct cutting-edge research and advance the next generation of computational frameworks that simulate human social behavior at scale to advance societal health.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

  • Drive projects by defining key research questions.
  • Design, implement, and evaluate experiments to provide clear answers.
  • Publish research findings in top academic conferences and journals, staying up to date with the latest advancements in the field.
  • Collaborate with internal and external scientific domain experts.
  • Contribute to real-world impact by landing research in Google products and services.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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