The Center for Applied Artificial Intelligence is recruiting pre-doctoral research professionals to tackle important and hard problems in economics and social science. We apply sophisticated machine learning tools to find innovative and effective solutions to real world problems with big impact. For example, we have worked to reduce discrimination against Black patients in healthcare algorithms, explain drivers of bias in the US judicial system, and help cardiologists identify patients at risk of death using medical data. Our toolkit includes CNNs for prediction, transformers for encoding, GANs for generation and Bayesian models for latent trait estimation. We use these advancing technologies to develop our understanding of foundational elements of economics and social science, with a focus on answering big questions about the human world around us.

Opportunities we offer

Research professionals contribute to our work at every level, developing their research capabilities and exposing them to some leading names in the field. Our research professionals have the chance to:

  • Work with faculty like Sendhil Mullainathan (the CAAI Faculty Director), Jens Ludwig (UChicago Crime Lab), Ziad Obermeyer (Berkeley School of Public Health), and others.
  • Engage directly in the research process and critical thinking required of academic researchers. Some examples of our research are in Science and the QJE.
  • Receive academic advice in preparation for a PhD. Past pre-doctoral fellows from Booth have been accepted to a range of prestigious PhD programs.
  • Implement complete project pipelines covering data processing, machine learning, and statistical inference.

People we hire

We are looking for applicants who:

  • Will have a bachelor’s or master’s degree in a relevant field by mid 2023.

  • Are considering pursuing a PhD, enough to invest in or explore that interest, whether in economics, social science, data science, computer science, or some other related field. (If this doesn’t apply to you, but the other points do, get in contact! We have other positions available.)

  • Can write Python or R code for statistical analysis or machine learning.

  • Are analytically minded, detail-oriented, and a great communicator.

Apply now

To apply, please respond to this job posting and complete this application form before October 21st. Applicants will be asked to complete a small initial assessment task and potentially a short screening call. A subset of applicants will then be asked to complete a larger assessment task. Finally, we will conduct two to three interviews before making final offers in December.

Applications submitted after the deadline will instead be considered for a reduced second round of assessments starting around April 2023.

Learn more

If you have specific questions or are just interested in learning more, you are welcome to reach out to us directly with questions. Alternatively, you can check out PREDOC.org to learn more about predoctoral fellowships generally and find resources. 

We look forward to hearing from you!

FAQ

Below, we’ve included some of the other questions that we get asked often. If your question is missing, feel free to email us directly!

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