Non-Tenure Track Online Faculty Position, Emerging Technology
University of Tennessee, KnoxvilleAbout the role
Description
The College of Emerging and Collaborative Studies (CECS) at the University of Tennessee, Knoxville (UTK) seeks a dynamic, collaborative, and innovative non-tenure track faculty member to create and provide instruction in a fully online program for its Professional Advancement Through Hands (PATH) Learning Certificate and related offerings.
CECS has a position open for non-tenure track, twelve-month, one-year appointment to begin as soon as possible, with a targeted start no later than January 2026. There is a possibility of renewal. Consistent with the mission of the University, the selected candidate will be responsible for teaching and service. Teaching assignments within the College will be made by the Dean according to the demands of enrollment and scheduling. The primary teaching responsibilities will include the development and instruction of online asynchronous courses in undergraduate applied PATH courses, including the industry co-lab, industry action lab, as well as research, service, and internship courses as needed. This position will also be expected to support grant initiatives related to emerging technology education.
Service to the College may be expected during the course development and will be assigned by the Dean. The successful candidate will demonstrate a strong interest and ability in teaching across CECS graduate and undergraduate degrees, certificates, and minors. There is an option for this position to be fully remote.
Qualifications
The College of Emerging and Collaborative Studies at the University of Tennessee is seeking a candidate with a passion for teaching and analysis in a way that connects deeply to collaborative studies.
- Candidates must have a doctoral degree and evidence of expertise in data science, applied artificial intelligence, and other applied technology fields. Preference will be given to candidates with degrees in mathematics, statistics, computer science, cybersecurity, engineering, or related fields.
- Candidates must be able to develop and deliver online undergraduate and executive modules in applied artificial intelligence, data science, analytical methods, data management, handling, and visualization, among other topics.
- Higher education teaching experience is required.
- Experience or demonstrated ability in the design and delivery of courses in a variety of formats, including face-to-face, synchronous online, asynchronous online, and hybrid, is preferred.
- Experience with technology-enhanced teaching and knowledge of team-based practices in teaching is expected.
- Successful applicants should have a strong commitment to excellence in teaching and service.
- Significant professional experience is highly desirable.
Track and Rank Qualifications:
-
- Teaching Assistant Professor – Holds a Ph.D. (or will hold at the time of appointment) in a related field with promise for excellence in teaching and related responsibilities, evidenced by early effectiveness and contributions.
- Teaching Associate Professor – Terminal degree with a demonstrated record of excellence in teaching and related responsibilities, with a minimum of three years of full-time teaching experience in a related field.
- Teaching Professor (Full) – Terminal degree with a sustained, consistent record of excellence and evidence of instructional leadership (e.g., curriculum development, mentoring, pedagogical innovation) commensurate with senior rank.
The compensation for the position will be commensurate with the experience of the successful candidate. The candidate will be expected to develop and deliver asynchronous online courses. The candidate will have service to the College, which may include executive education courses, facilitating industry partnerships, contributing to student success programming, and supporting public engagement.
Application Instructions
Priority will be given to applications received on or before November 15, 2025, via our Interfolio application system. https://apply.interfolio.com/176046
Applications must include:
- a one-page cover letter addressing qualifications and motivation,
- a teaching statement, including the candidate's background and experience that make them an ideal candidate, please include teaching evaluations if available.
- a comprehensive curriculum vitae, and
- the names and contact information (address, phone number, and e-mail address) for at least three professional references.
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