The College of Science at Purdue University is seeking a Professor of Practice to lead the Data Science program at our Indianapolis campus. The appointment may be at the level of Assistant or Associate Professor of Practice. The College of Science is committed to further enhancing Purdue’s highly reputed Statistics program, with the intent to create a globally leading research and teaching program in Data Science. This position is part of an initiative to expand Purdue’s programs to the Indianapolis campus, and will be complemented by the recruitment of tenure-track/tenured faculty members to advance the program’s research and teaching mission. Purdue University in Indianapolis is a new, fully integrated expansion of the West Lafayette campus, extending to central Indiana the academic rigor and accessible excellence for which Purdue is known. As the state’s only public top 10 university, most trusted university and most innovative university, Purdue is focused and committed to strengthening its presence in Indiana’s industrial and technological center. Purdue in Indianapolis is creating an innovative, STEM-based collegiate experience by connecting future-ready Purdue students and faculty in Indianapolis to local businesses to accelerate Indiana’s STEM pipeline and tech ecosystem, fueling impact for our region and the world. Learn more about Purdue’s latest giant leap at: https://www.purdue.edu/campuses/indianapolis/.
Qualifications
While the search is wide, applicants must hold a Ph.D. in statistics, computer science, engineering, or related fields. Furthermore, industry experience and evidence of a strong commitment to teaching will be highly valued.
This position is non-tenure track faculty position with multi-year contracts, a promotion track, and a focus on teaching. Duties will typically consist of teaching 5-6 courses each academic year. Successful candidates will be expected to teach courses at various levels, meet with and advise students, establish and maintain strong relationships with the profession, and participate in the program, college, and broader university activities.
The M.S. in Data Science programs in West Lafayette and Indianapolis are part of Purdue’s strategic initiatives in Data Science and Artificial Intelligence, complementing the expansion of the West Lafayette campus to central Indiana. These programs will be largely managed by the Department of Statistics in the College of Science, which comprises the mathematical, computational, physical, and life sciences at Purdue. The College of Science is the second-largest college at Purdue with over 350 faculty and more than 7,000 students. Opportunities for collaboration exist across mathematics, probability, statistics, the physical and life sciences, and in particular both a newly reimagined School of Business and a burgeoning campus presence in the center of Indianapolis. Purdue itself is one of the nation’s leading land-grant universities, with an enrollment of over 50,000 students primarily focused on STEM subjects.
Applications should be submitted online through www.mathjobs.org and should include (1) the AMS cover sheet for academic employment, (2) a cover letter, (3) a curriculum vitae, (4) a teaching statement, and (5) at least three letters of recommendation focused on the candidate’s teaching qualifications. Please note that to be considered a complete application, applicants must create a profile in Success Factors by applying through Purdue's careers site. Reference letter writers should be asked to submit their letters online through www.mathjobs.org. Direct all inquiries to Professor Raghu Pasupathy via pasupath@purdue.edu.
Application review will begin on February 12, 2025 and will continue until the position is filled.
A background check will be required for employment in this position.
For more information about Purdue Statistic, see
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.
In your application, please refer to Professorpositions.com