computer science (typical load: 12 credit hours per semester) Potentially develop and teach courses in artificial intelligence, machine learning, and related areas Mentor and advise students in their academic and professional development, including capstone projects and undergraduate research Engage in scholarly activities appropriate to a teaching-focused position, including applied research, curriculum innovation, and professional development Participate in department and university service, including committee work Contribute to program assessment and accreditation efforts Foster an inclusive learning environment that supports diverse student populations Stay current with developments in AI/ML and integrate emerging technologies into the curriculum Required Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or closely related field (ABD considered with completion expected by start date) Preferred, strong background in artificial intelligence and machine learning Demonstrated commitment to excellence in undergraduate teaching Strong communication and interpersonal skills Ability to work collaboratively with colleagues across disciplines Commitment to the Christian mission of Lipscomb University Preferred Qualifications Prior teaching experience at the college level Industry or research experience Experience developing curriculum Record of mentoring undergraduate research or capstone projects Expertise in areas such as: deep learning, natural language processing, computer vision, reinforcement learning, or AI ethics Experience with modern AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.) Publications, presentations, or professional contributions in AI/ML Application Materials Please submit the following materials: Cover letter addressing your qualifications, teaching experience in AI/ML, and interest in the position Curriculum vitae Statement of teaching philosophy Statement addressing how your faith integrates with your teaching and scholarship Evidence of teaching effectiveness (course evaluations, syllabi, teaching portfolio) Names and contact information for three professional references Application Deadline Review of applications will begin October 1, 2026 and continue until the position is filled. For questions about the position, please contact: Dr. Susan Hammond, Department Chair Department of Computer Science Lipscomb University sahammond@lipscomb.edu
