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Full Consideration Date:

Job Description:

The University of Northern Iowa's College of Humanities, Arts and Sciences seeks applications for a tenure-track position as an Assistant Professor in Data Science, starting in August 2025. The tenure home will be in either Computer Science, Mathematics, or Physics, as appropriate for the candidate.

It is expected that the person in this position will be mentored toward directing a Data Science Hub. Initially, the responsibilities of the position will include teaching and curriculum development in data science and/or the faculty member's home discipline (60%), and research that focuses on applications of Data Science in STEM fields that are relevant to the candidate (25%). The service load for this position (15%) will primarily work toward the development of a Data Science Hub. After a successful third year review, the individual will take on a larger service load and lower teaching load as part of the transition to directing the data science hub.

The position offers opportunities to collaborate with faculty in STEM disciplines who use data science methods and techniques in their disciplinary scholarship/research. Faculty in the Departments of Applied Engineering & Technical Management, Biology, Chemistry & Biochemistry, Computer Science, Mathematics, and Physics have research interests that include bioinformatics, cheminformatics, computational protein structure prediction, computational biology, AI, machine learning, and computational physics, all areas intersecting data science that are potentially fertile ground for collaboration. UNI is a partner institution on a state-wide NSF EPSCoR grant that includes data science faculty and staff from UNI, University of Iowa, and Iowa State University. UNI provides excellent opportunities for research including a multi-CPU and multi-GPU high-performance computing system as well as access to data generated by our faculty in their scholarly pursuits.

Required Qualifications:

Ph.D. in a STEM discipline related to data science; demonstrated expertise in one or more areas of data science, such as artificial intelligence, machine learning, natural language processing, data wrangling & visualization, or applications of these areas in one of the STEM disciplines; ability to teach courses in data science; demonstrated skills in oral and written communication; ability to supervise undergraduate research and mentor students; and demonstrated ability to teach courses within your discipline that are outside of the core of data science required. ABD applicants should provide evidence of degree completion by August 2025.

For more information, please contact Bill Harwood, Search Committee Chair, at 319-273-2052 or e-mail at bill.harwood@uni.edu. Pre-employment background checks required.

Position Details:

Job Category: Faculty

Type of Position: Tenure Track

Service Schedule: Academic Year

Application Instructions:

Curriculum Vita; research statement; statement of teaching philosophy; and cover letter required when applying.

Iowa enjoys a lower cost of living than many other states. See how the Waterloo-Cedar Falls area compares by utilizing the cost of living calculator. Our overall compensation package is enhanced by excellent benefits for eligible non-temporary positions. To learn more about the vibrant Cedar Valley community, visit https://livethevalley.com/.

If you would like general assistance with the application process or an accommodation due to a disability, please contact Human Resource Services at hrs-employment@uni.edu or call (319) 273-2422.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

UNI is an Equal Opportunity/Affirmative Action employer. The University encourages applications from persons of color, women, individuals living with disabilities, and protected veterans. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, ethnicity, gender identity, genetic information, marital status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, veteran or military status, or any other basis protected by federal and/or state law.

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