Teaching Faculty in Emerging Technologies; Cybersecurity, Artificial Intelligence, Data Science

Overview

Teaching Faculty in Emerging Technologies (Cybersecurity, Artificial Intelligence, Data Science, Applied Computing) – UTK Knoxville, Tennessee.

UTK Knoxville, Tennessee

Apr 27, 2026

The College of Emerging and Collaborative Studies (CECS) at the University of Tennessee, Knoxville (UTK) seeks dynamic, collaborative, and innovative faculty members to contribute to its programs in Cybersecurity, Artificial Intelligence, Data Science, and Applied Computing. CECS has multiple positions across these disciplines open for non-tenure track, nine-month, full-time appointments beginning August 1, 2026. This is an open-rank search; appointment at the Teaching Assistant Professor, Teaching Associate Professor, Teaching Professor, or Professor of Practice level will be commensurate with qualifications and experience.

The selected candidates will be responsible for teaching and service, with assignments made by the dean according to enrollment demands and scheduling. Primary teaching responsibilities will include courses in emerging technologies such as Cybersecurity, Artificial Intelligence, Data Science, and Applied Computing, as well as other new courses launched by the College. We are seeking colleagues who bring deep applied expertise in one or more emerging technology domains and who share our commitment to education that is hands-on, intercollegiate, and workforce-relevant.

Candidates are expected to maintain a scholarship focused on practice and impact; traditional academic research is welcome but not required.

Expertise in one or more of the following teaching areas is expected:

• Applied Cybersecurity: network security fundamentals; penetration testing and ethical hacking; web application security; vulnerability assessment and management; intrusion detection and prevention; digital forensics and evidence handling; incident response; log analysis and threat detection; cloud security; and defensive and offensive applications of artificial intelligence in cybersecurity. As the graduate program launches, teaching responsibilities may expand to include advanced courses in red team operations, network forensics, security architecture, and enterprise risk management.
• Artificial Intelligence
  : introductory artificial intelligence concepts and applications; natural language processing, programming techniques, and conversational AI; human-AI interaction and user experience design; AI ethics, legal frameworks, and social impact; AI-based data handling, preprocessing, and visualization; AI applications in cybersecurity; developing AI applications and AI-relevant programming in Python using frameworks such as Scikit-learn, Tensor Flow, and PyTorch; and large language models (LLMs) and their APIs (such as OpenAI).
  
  As the graduate program grows, teaching responsibilities may expand to include advanced courses in machine learning, deep learning, generative AI, and computer vision.
• Data Science
  : foundational data science concepts including data collection, management, and exploration; data stewardship, ethics, and lifecycle management; data storage, warehousing, and governance; analytical methods including statistics, machine learning, and optimization; advanced data analysis including multivariate regression, clustering, topic modeling, and time series analysis; data wrangling and preprocessing; visual analytics; programming in Python and R; data pipeline development and version control using tools such as Git Hub and Jupyter notebooks;
  
  database design, SQL, and cloud-based data engineering; and communicating data science outcomes to technical and non-technical audiences. As the graduate program grows, teaching responsibilities may expand to include advanced courses in disciplinary applications of data science, scalable data engineering, and the legal, ethical, and societal implications of data-driven systems.
• Applied Computing
  : foundations of computing, software development, databases, networking, Dev Ops, Cloud Computing, Web development, etc.

• Teach undergraduate and graduate courses aligned with your area of specialization, including…