Assistant Professor of Computer Science (Non-Tenure Track), Generative AI Media & Artificial Intelligence

About the job

Position Title

Assistant Professor of Computer Science (Non-Tenure Track), Generative AI Media & Artificial Intelligence

Position Summary

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.

Required Qualifications

• 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.

Preferred Qualifications

• Doctoral degree in Computer Science, Artificial Intelligence, Human-Computer Interaction, Digital Media, Computational Media, Information Science, or a closely related field.

• Previous undergraduate teaching experience at the college or university level.

• Experience designing interdisciplinary or project-based courses related to artificial intelligence or emerging technologies.

• Demonstrated experience integrating ethical, cultural, and societal considerations into computing education.

• Experience mentoring undergraduate students engaged in creative or applied computing projects.

• Experience collaborating on externally funded initiatives, centers, institutes, or interdisciplinary programs.

• Familiarity with advanced computing environments, cloud-based AI platforms, or cyberinfrastructure initiatives that support undergraduate education and research.

Preferred Education/Experience

Preference will be given to candidates who possess:

• A doctoral degree in a related discipline.

• Teaching experience in areas such as Generative AI, Human-Computer Interaction, Digital Media, Artificial Intelligence, Computational Media, Data Science, or related fields.

• Experience working with multimodal generative AI technologies involving text, image, audio, and video applications.

• Experience designing student-centered learning environments that emphasize ethical and socially responsible innovation.

• Evidence of interdisciplinary collaboration that bridges computing with the humanities, social sciences, business, education, or the arts.

• Experience supporting undergraduate experiential learning initiatives through applied projects, workshops, or collaborative scholarship.

Required Knowledge, Skills, and Abilities

The successful candidate should demonstrate:

• Knowledge of generative artificial intelligence technologies and their applications in digital media, communication, and creative practice.

• Knowledge of ethical, cultural, and societal issues related to artificial intelligence and emerging technologies.

• Ability to teach undergraduate students from diverse disciplinary and technical backgrounds using student-centered pedagogical approaches.

• Ability to design and deliver courses that integrate theory, practice, and ethical inquiry related to artificial intelligence.

• Knowledge of contemporary AI tools and platforms used in text, image, audio, and video generation.

• Ability to develop interdisciplinary and project-based learning experiences that promote creativity, collaboration, and critical thinking.

• Strong written, oral, and interpersonal communication skills.

• Ability to collaborate effectively with faculty, staff, and external partners across disciplines.

• Commitment to inclusive excellence, undergraduate education, and the liberal arts mission of Morehouse College.

• Ability to mentor and advise undergraduate students pursuing academic and professional interests in the computer science field and specifically related to artificial intelligence and computing.

Physical Demands

The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

• Ability to communicate effectively in person and through electronic communication platforms.

• Ability to remain in a stationary position for extended periods while teaching, advising, and performing administrative responsibilities.

• Ability to use computers and standard instructional technologies.

• Ability to occasionally move instructional materials and equipment weighing up to twenty-five (25) pounds.

• Ability to travel occasionally to attend meetings, professional development activities, conferences, and College-related events.

Essential Duties/Responsiblities

Teaching and Curriculum Development

• Teach undergraduate courses in Generative AI Media & Artificial Intelligence and related areas within the Computer Science curriculum.

• Develop innovative courses that explore generative AI technologies, digital media creation, and their ethical and societal implications.

• Design interdisciplinary learning experiences that connect computing with fields such as business, education, journalism, communication studies, and the arts.

• Employ effective and inclusive pedagogical practices that support student success and engagement.

• Contribute to the development of future curricular pathways and interdisciplinary initiatives related to artificial intelligence.

Student Engagement and Advising

• Advise and mentor undergraduate students regarding academic, professional, and experiential learning opportunities.

• Support undergraduate student projects, presentations, and creative scholarship related to artificial intelligence and digital media.

• Engage students in co-curricular activities including workshops, demonstrations, competitions, and collaborative projects.

Professional and Institutional Service

• Participate in departmental, divisional, and College service activities consistent with faculty expectations.

• Collaborate with faculty across disciplines to develop interdisciplinary initiatives involving artificial intelligence and emerging technologies.

• Contribute to efforts that expand student access to experiential and project-based learning opportunities.

• Support departmental assessment and continuous improvement initiatives.

Research, Innovation, and Applied Computing Engagement

• Contribute, as appropriate, to student-centered initiatives related to the NSF Leadership-Class Computing Facility (LCCF) Horizon project and other advanced computing efforts.

• Facilitate opportunities for students to explore applications of generative AI technologies that address contemporary social, cultural, and communication challenges.

• Maintain professional engagement with emerging developments in artificial intelligence, digital media, and computing education.