Overview
CAIDS seeks a Professor of Practice to teach introductory and multi-disciplinary courses in data literacy, visualization, analysis, and related topics. The position carries a 2/2 teaching load, primarily covering DATA 1010 (Introduction to Data) and DATA 2030 (Data Visualization), plus at least one additional multi-disciplinary undergraduate course. In addition to teaching, the role includes service supporting CAIDS programs—such as internships, workshops, consulting, and data visualization activities—while helping expand faculty and student engagement in data-related research and education.
We seek candidates with a Ph.D. in a data-related field and teaching experience, or a Master’s degree with at least five years of combined post-secondary/secondary teaching and/or professional experience in data literacy, analysis, or management. Ideal candidates can effectively teach students from diverse backgrounds with limited prior exposure to data, statistics, or computer science, and are enthusiastic about building inclusive, multi-disciplinary programming.
Full position description, qualifications, and application instructions (cover letter, CV, and teaching statement) are available at the link. Anticipated start date: July 1, 2027
About Connolly Alexander Institute for Data Science (CAIDS) | Tulane University
The Connolly Alexander Institute for Data Science (CAIDS) is an independent, interdisciplinary academic institute at Tulane University that supports a culture of data and AI literacy across every academic level and field. Through classroom courses, co-curricular programming, short-form workshops, and public events, CAIDS equips the Tulane community with the ability to read, work with, analyze, and communicate about data. The institute promotes data literacy across disciplines, supports career readiness and student leadership, fosters collaborative data and AI research, and builds connections between students, faculty, staff, and community partners.
