Applied AI Teaching Professor (Non-Tenure, On-Campus)

The University of Tennessee, Knoxville

Knoxville (TN)

On-site

USD 65,000 - 80,000

Full time

14 days+

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Job summary

The University of Tennessee, Knoxville's College of Emerging and Collaborative Studies (CECS) invites applications for a non-tenure track, nine-month teaching faculty position in Artificial Intelligence on campus, starting January 1, 2027. Open-rank search; rank determined by qualifications and experience.

Responsibilities include teaching AI courses from introductory to graduate levels, developing updated materials, advising students, mentoring capstone projects, and contributing to program

Qualifications

  • Ph.D. in Artificial Intelligence, Computer Science, Data Science, or a closely related field.
  • Evidence of effective teaching at the university level, or substantial practitioner experience with instructional or mentoring responsibilities.
  • Experience with multiple formats: face-to-face, synchronous online, asynchronous online, and hybrid.

Responsibilities

  • Teach courses spanning introductory through graduate level in Artificial Intelligence, including lab-intensive and applied learning components
  • Develop and regularly update course materials to reflect current tools, frameworks, and industry practice
  • Advise and mentor students, including supervision of capstone projects and applied research
  • Contribute to program assessment, continuous improvement, and accreditation processes
  • Participate in college governance, committees, and professional community engagement

Skills

Generative AI
LLM Engineering
Agentic AI
Multi-Agent Systems
AI Safety & Evaluation
Python frameworks

Education

Ph.D. in AI
Ph.D. in Computer Science

Tools

Scikit-learn
TensorFlow
PyTorch

Job description

The University of Tennessee, Knoxville's College of Emerging and Collaborative Studies (CECS) invites applications for a non-tenure track, nine-month teaching faculty position in Artificial Intelligence on campus, starting January 1, 2027. Open-rank search; rank determined by qualifications and experience.

Responsibilities include teaching AI courses from introductory to graduate levels, developing updated materials, advising students, mentoring capstone projects, and contributing to program

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