Faculty, Computer Science - Raymond B. Jones College of Engineering

Lipscomb University • Nashville, TN

1d • Onsite

About The Position

The Department of Computer Science at Lipscomb University invites applications for a tenure-track, open-rank faculty position beginning in Fall 2027. We seek a dedicated educator, ideally with expertise in Artificial Intelligence and Machine Learning, who is passionate about teaching, mentoring students, and contributing to our vibrant academic community. This is primarily a teaching-focused position with opportunities for scholarly engagement.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• Teach undergraduate courses in 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree