Apply Now for New Postdoctoral Scholar Positions at the Knowledge Lab at the University of Chicago

How to Apply

Apply Here for all Postdoctoral Positions

Attachments to include:

  1. Cover letter, describing your interest in and qualifications for pursuing interdisciplinary research;
  2. Curriculum vitae (including publications list);
  3. Two published papers or equivalent writing samples that best demonstrate your expertise and fit for the position;
  4. Research statement (2-4 pages) that outlines your research achievements and agenda, as well as your service and outreach activities (optional);
  5. Contact information for three or more scholars who know your work and are willing to write letters of reference;
  6. An example (e.g., GitHub links or code in any language) of working software you have written (optional);
  7. Link to a professional webpage and Google Scholar page (optional)

University Info

All University departments and institutes are charged with building a faculty from a diversity of backgrounds and with diverse viewpoints; with cultivating an inclusive community that values freedom of expression; and with welcoming and supporting all their members. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at 


The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-834- 3988 or email with their request.”

General Postdoctoral Scholar Positions at the Knowledge Lab

The University of Chicago is seeking exceptional candidates for multiple post-doctoral fellow positions in the Knowledge Lab, directed by Prof. James Evans, Max Palevsky professor of Sociology and Data Science at UChicago and the Santa Fe Institute. We have a broadly defined research agenda, exploring diverse topics related to the science of science, technology, and innovation; computational social science; AI — large language and multi-modal models, novel AI paradigms and designs, AI interpretability and world models, complementary and “alien” AI; automated social and natural science; network science and data science informed by the geometry and topology of data. Many projects will involve and design research collaborations with scientists around the world to solve the most challenging problems and seek out new opportunities.

Postdoctoral Scholar Positions in Science and Technology Policy

We seek outstanding candidates for government and philanthropically funded postdoctoral positions to explore the dynamics of science, technology, and product innovation, examine the global science and technology ecosystem, and explore novel approaches to predict and causally identify the impact of innovation policies. Specifically, postdocs will participate in a broader team of researchers to develop large-scale models to (1) observe the global system of science and technology at scale; (2) predict future science and technology; and (3) experimentally explore alternative futures and how to configure the world to achieve them. Postdocs will work at the interface of the science of science and innovation. They will also interact with researchers on how to wrangle/build data-driven and AI-powered approaches that assist this goal.

Candidates will work in the Knowledge Lab, directed by Max Palevsky Prof. of Sociology James Evans, and engage with a number of social scientists and scholars across the collaborative project in the social sciences (e.g., economics and sociology), complex systems (e.g., network science, physics, ecology), and computer science. 

Postdoctoral Scholar Positions on AI, Science & Technology Prediction

We seek outstanding candidates for government and philanthropically funded postdoctoral positions developing large language models (LLMs) and associated AI systems to (1) observe the global system of science and technology at scale; (2) predict future science and technology; and (3) experimentally explore alternative futures and how to configure the world to achieve them. Postdoctoral Scholars will work at the interface of AI research on transformers and novel deep learning designs and realized large-scale systems in collaboration with the Allen Institute for Artificial Intelligence (e.g., its AI-powered Semantic Scholar and Open Language Model, OLMo) and the U.S. Department of Energy’s Trillion Parameter Consortium. This work will be in collaboration with computational social scientists (e.g., economists, sociologists, physicists) furthering the science of science and innovation in order to guide U.S. and global strategic investments in science and technology.

Candidates will work in the Knowledge Lab in the Division of Social Sciences at the University of Chicago, directed by Prof. James Evans. Technological change drives economic change, creating new jobs while making others more efficient, replacing industries in cycles of creative destruction that generate new goods and services to promote human productivity and prosperity. Understanding technological progress and leadership is key to ensuring sustainable prosperity, security, and equity, and buffering against economic shocks. Nevertheless, despite enormous data on science and technology, little is understood about what pathways could ensure advance in critical technology capacity, production, and use. This effort will require improved situational awareness regarding the global techno-scientific environment, strengthened capacity to predict technological advance across that environment, and establishing causal linkages between specific policy levers for technological progress and leadership. We will model and predict the global system of technological development to understand and shape technological capabilities. To enable holistic exploration, we will build a powerful large language model (LLM) atop precise data on global technology funding, research, intellectual property, products, and their mentions, linked by the people, regions, and organizations producing and consuming them, to dynamically account for complex and emergent interdependencies among diverse technological domains. We seek to construct our model to function as a global observatory of the innovation system, and as a virtual laboratory to simulate alternative outcomes (e.g., advances predicted to result from specific funding, educational, or organizational policies). Our LLMs will also support the estimation of structural models to causally identify the impact of funding on interlocking discoveries, overlapping supply chains, global networks of skilled labor, and industrial organizations that drive or impede international technology leadership.

Postdoctoral Scholar Positions in Complementary AI

We seek outstanding candidates for a funded postdoctoral position at the University of Chicago exploring complementary artificial intelligence. Under the supervision of James A. Evans and Chenhao Tan in the Data Science Institute at UChicago, postdocs will work at the interface of machine learning (e.g., generative models, large text and multi-model models), human-computer interaction (HCI), and the social and behavioral sciences to engage in empirical research that advances the theory and evidence-base for complementary AI. By this, we mean novel and powerful AI designed not to match and substitute for human capacity, but to compensate for and complement it. The notion of “Artificial Intelligence” as a mimicry of human intelligence has dominated computational intelligence designs for more than half a century and inspired growing interest and concern regarding artificial general intelligence (AGI).