The University of North Texas, a Tier I Research Institution, is seeking highly capable individuals at the assistant or associate professor rank who wish to join the rapidly growing Department of Learning Technologies. The Department of Learning Technologies' focus is to enhance learning and performance through innovative research, teaching, and service focused on learning technology, information, language, and computing technologies to advance learning, training, cognitive development, and human performance. The successful candidate will be qualified to teach courses in at least three of the following areas: computer networks, software engineering, programming languages, human computer interaction, internet services administration, artificial intelligence, human/machine learning, learning sciences, learning analytics, computational neuro-psychology, and research methods. The anticipated instructional need includes a focus on graduate education but may extend to occasional undergraduate teaching. Candidates are expected to teach two courses per semester and maintain an active service, advising, and research load. The successful candidate should have experience serving on and advising doctoral students. 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. Ph.D. in Learning Technologies, Computer Science, Applied Technology Performance Development or a related field. Experience mentoring doctoral students. Developing research agenda with evidence of publications.