General Postdoctoral Scholar Positions at the Knowledge Lab

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)

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.

The initial term of these positions is one year, with possibilities for renewal. The positions require annual renewal for up to 4 years and involve very competitive salary and benefits packages. We review applications on a rolling basis. Target start dates are flexible. Candidates must have a proven record of publications and completed projects that demonstrate an outstanding ability to work with data. Compensation includes a competitive salary and benefits plan and assistance with relocation to Chicago.

Qualifications:

  •   Ph.D. in computational social science (e.g., sociology, management, economics, political science), complex systems (e.g., physics, ecology), network science, computer science, applied mathematics, statistics, or related fields. 
  •   Prior experience in programming and working with large-scale data; expertise in machine learning is a strong plus. 
  •   Active publication record and participation in the scientific community;
  •   Strong communication skills;
  •   Ability to work in a highly collaborative and interdisciplinary environment.

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 https://provost.uchicago.edu/statements-diversity. 

 

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 equalopportunity@uchicago.edu with their request.”