The Advanced Data Analytics (ADTA) Program in the Toulouse Graduate School and the Interdisciplinary Program in Analytics and Computational Science (IPACS) in the College of Science at the University of North Texas invite applications for a joint ADTA/IPACS position of Clinical Assistant Professor in Data Analytics.
Successful candidates will teach courses in the ADTA program and for a growing undergraduate data analytics certificate program based in IPACS. ADTA is a rapidly expanding MS degree program providing leading edge education in the high-demand field of data analytics. Graduate and undergraduate certificates in data analytics are also offered and taught by ADTA/IPACS faculty. ADTA and IPACS programs are distinguished through a case-study approach in classes, strong partnerships with regional businesses, and intense dedication to student success.
Anticipated instructional needs include, but are not limited to, data analytics, applied statistics, machine learning, AI, and data engineering. Candidates with experience teaching at the university level and/or mentoring industry professionals in any of these areas are encouraged to apply. Candidates must have a terminal degree in Data Analytics/Science or related quantitative/technical field (e.g. Business Analytics, Information Technology, Economics, Decision Science, Computer Science, Applied Statistics).
Candidates will teach online as well as face-to-face classes, including at UNT’s campus in Frisco, Texas. Preference will be given to applicants with experience applying analytic methods in business, government, or science settings.
Successful candidates will work with diverse faculty and students in the IPACS and ADTA programs and across UNT, supporting a strong culture of collaboration and innovation. Candidates are expected to teach a course load of 3-4 courses per semester with the potential for course load reduction for scholarly and professional activities, program advising, course development, or other professional development and service activities. Actual course loads are assigned based on program needs. Salary is competitive and commensurate with experience.
"An offer of employment for this position will be made dependent upon available funding."