Assistant Professor - Data Science -Notice of Filing

NOTICE OF FILING - Please do not apply to this position as it has been filled. This posting is mandatory to meet a United States Department of Labor requirement. See the job posting for more details.

A competitive recruitment and selection process was conducted for this employment opportunity and a U.S. worker was not selected. An application for Alien Employment Certification is being filed on behalf of an alien to fill the employment opportunity. Anyone with documentary evidence relative to the application, or available workers, wages and/or working conditions, may contact the Regional Certifying Office of the Department of Labor at the following address: 

U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue NW, Room N– 5311 Washington, DC 20210 

The Department of Mathematics and Statistics at the University of Wisconsin-La Crosse is seeking applicants for an academic year (9-month) tenure-track faculty position at the rank of Assistant Professor with the start date of August 2026. We encourage applications from candidates with expertise in all areas of data science. Preference will be given to candidates with experience in artificial intelligence and machine learning, deep learning, natural language processing, and/or data mining. Come join a community of teacher/scholars committed to student success.

Applications received prior to the first review date will receive full consideration, and the search will continue on a rolling basis until the position is filled.

Under general supervision of the department chair, successful candidates will be responsible for teaching undergraduate and/or graduate courses (if applicable) and advising students. In addition to preparing for and holding classes, teaching involves maintaining currency in the content area related to the teaching assignment, evaluating students’ work, assessing student outcomes, providing regular and substantive feedback on student work, maintaining appropriate records, and holding office hours. The successful candidate is expected to maintain an active, on-going program of scholarship appropriate to their discipline. In addition, faculty provide service to the department, college, university, community and/or professional organizations. Other duties may be assigned by the chair or dean.

The College of Science & Health (CSH) is the largest academic unit at the University of Wisconsin–La Crosse, bringing together diverse disciplines across the natural, physical, computational, and health sciences. Home to 11 academic departments and nationally recognized professional programs, CSH is known for its strong tradition of faculty mentorship, hands-on undergraduate research, and graduate education that prepares students for leadership in science, healthcare, and industry. Faculty and students benefit from state-of-the-art facilities such as the Prairie Springs Science Center and the Health Science Center, which support innovative teaching, collaborative research, and community engagement. The college also hosts interdisciplinary centers and institutes that connect scholarship with real-world challenges, ranging from river studies to disability health. With robust instrumentation, collaborative partnerships—including ties with the Mayo Clinic Health System—and potential start-up support, CSH provides new faculty with an environment that fosters both scholarly excellence and student success.

The review of applications starts on October 31, 2025. Applications received on or before October 31st are prioritized and review will continue until the position(s) is/are filled. Initial interviews will be conducted virtually, with shortlisted candidates invited to campus.

Mathematics and Statistics

• Doctorate in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, or related field. ABD will be considered. The degree must be earned by the end of the first academic year.
• Evidence of the ability to be an effective instructor.
• Evidence of clear and effective communication skills.

• Experience of teaching in higher education.
• Evidence of ability to teach a broad range of courses in data science, statistics, and mathematics.
• Evidence of ability to sustain on-going research at a teaching university.
• Interest in collaborating with industry partners and students on applied projects.
• Proficiency in programming languages and tools, such as Python, R, SQL, data visualization, and version control

Required application documents

CV

Cover Letter (that address's the required and preferred qualifications, and

include statements of your research interests and teaching philosophy as part of your cover letter, or appended to the same pdf file.)

References Contact Information

Jeff Baggett [email protected]