Postdoctoral Fellowship in Data Science

I have openings for Postdoctoral Fellowships in Data Science at UT Austin. This position provides candidates with the opportunity to conduct research in the theory of data analytic practice and to expand the training of data analysis to large audiences. The goal for this position is to contribute to a foundation of scholarship around data analysis and to translate our research into scalable data science education materials. Projects can cover

• Research: Empirical, methodological, theoretical, or computational investigations into data analysis strategies, techniques, and practice.

• Content Development: Building online and in-person course materials, books, video and audio materials, case studies, and potentially other short-form content for the purpose of wide distribution.

Candidates will join a collegial and interdisciplinary team. Opportunities are also available to interact with a network of collaborators at the Johns Hopkins Data Science Lab, the Open Case Studies Project, the UT Center for Health and Environment: Education and Research (CHEER), and the Fred Hutchinson Cancer Research Center.

Background information for this position can be found in the following publications:

• Perspective on Data Science with Hilary Parker.

• Diagnosing Data Analytic Problems in the Classroom with Athena Chen, Eric Bridgeford, Jeff Leek, and Stephanie Hicks.

• Design Principles for Data Analysis with Lucy D’Agostino McGowan and Stephanie Hicks.

• Reproducible Research: A Retrospective with Stephanie Hicks.