The Interdisciplinary Program in Analytics and Computational Science in the College of Science at the University of North Texas invites applications for the position of Clinical Assistant Professor in Advanced Data Analytics with a focus in Machine Learning and Artificial Intelligence. Candidates will teach in the Advanced Data Analytics MS program and are expected to be effective instructors with experience teaching courses in areas such as machine learning, deep learning, cognitive computing, AI, and data engineering. Candidates will teach online as well as face-to-face classes at UNT's New College. Preference will be given to applicants with experience applying big data analytics, machine learning, deep learning, and related analytic methods in business, government, or science settings. Candidates are expected to teach a course load of 4-4 with the potential for a course load reduction for program advising, course development, or other service responsibilities. Actual course loads are assigned based on program needs. Salary is competitive and commensurate with experience. Established in 1890, the University of North Texas is ranked as a Tier One research university by the Carnegie Classification. Enrolling over 38,000 students and offering 100 bachelor, 83 master and 37 doctoral degree programs, UNT is a catalyst for creativity, fueling progress, innovation and entrepreneurship for the North Texas region and the state. Review of applications will begin immediately and will continue until the search is closed. Please contact Professor Michael Monticino at email@example.com with questions about the search. The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices. PhD in Data Analytics/Science or related quantitative/technical field (e.g. Information Technology, Computer Science, Statistics, Operations Research, Mathematics). Experience teaching at the university level, including experience teaching courses in areas such as machine learning, deep learning, cognitive computing, AI, and data engineering.