About this role The Department of Computer Science at Morehouse College invites applications for a full-time, non-tenure-track Assistant Professor position
in Computer Science. The faculty member will be expected to contribute to Generative AI Media & Artificial Intelligence along with topics that contribute to the Computer Science Department’s curriculum. The successful candidate will demonstrate a commitment to excellence in undergraduate teaching and interdisciplinary curriculum development at the intersection of artificial intelligence, digital media, and applied computing. The faculty member will teach undergraduate courses that explore generative artificial intelligence technologies and their applications across text, image, audio, and video modalities while emphasizing ethical, creative, and socially responsible innovation. The successful candidate will contribute to the development of new curricular offerings that engage students in critical inquiry, creative problem-solving, and applied projects that connect computing with the liberal arts. The position supports the College’s commitment to preparing graduates who are thoughtful leaders and innovators capable of understanding both the technical and societal implications of emerging technologies. The faculty member will contribute to interdisciplinary collaborations across the College and engage students in experiential learning opportunities related to artificial intelligence, digital media, and advanced computing initiatives. Please Apply Here: https://morehouse.peopleadmin.com/postings/15519 Key Requirements Terminal degree in Computer Science, Artificial Intelligence, Data Science, Human-Computer Interaction, Digital Media, Computational Media, Information Science, or a closely related discipline from an accredited institution, or at least eighteen (18) graduate credit hours in a related field. Demonstrated potential for excellence in undergraduate teaching. Demonstrated familiarity with contemporary generative AI technologies and their applications. Ability to teach courses related to artificial intelligence, digital media, and applied computing. Commitment to interdisciplinary teaching, student mentorship, and inclusive excellence.
