Assistant Professor - Computer Science

Description of Job Duty:

The Department of Computer Science is seeking applicants to fill one tenure-track position at the rank of Assistant Professor beginning August 1, 2026.

Tennessee Tech is an Equal Opportunity/Affirmative Action employer.

Essential Functions:

Selected candidates will be student-centered and expected to teach undergraduate and graduate courses primarily in AI, machine learning, and data science, with an initial focus on undergraduate courses. They will contribute to curriculum development and participate in scholarly activities centered on teaching, learning, and/or Computer Science related pedagogy. This includes publishing research papers and pursuing external funding. They will also direct projects and research of students at the undergraduate and graduate levels;

serve on committees at the department, college, and university levels; engage in professional and public service; and advise students on professionalism and career opportunities.

Physical Demands:

Those typical of any classroom-type environment or office environment.

Special Instructions:

To apply , please visit the full job description at (Use the "Apply for this Job" box below). Applicants will be required to electronically upload a cover letter, curriculum vitae, teaching philosophy, research statement, copies of transcripts (official transcripts for all degrees conferred required upon hire), and email contact information for three references. References will be contacted at a later date. Submission of materials is the applicant's responsibility.

Applications without all required materials are incomplete and will not be considered. Screening of applications begins on January 15, 2026; open until filled.

Salary:

Commensurate with education and experience. Full-time, nine-month, tenure-track position to start August 1, 2026.

Benefits Information:

Benefits include the accumulation of one (1) sick leave day per month and thirteen (13) University holidays. Other benefits include medical and life insurance (shared cost with the university), retirement, optional 401k, and educational benefits. Deferred income and benefits over 12 months.

Minimum Qualifications:

An earned doctorate from an accredited institution in computer science, AI, data science, or a closely related field by the start date of employment; an ability and desire to strive for teaching excellence in AI and data science at the undergraduate and graduate levels; potential to engage in externally funded research; engagement in scholarly activities as demonstrated by peer-reviewed journal and conference publications;

and effective communication and interpersonal skills.

Preferred Qualifications:

Expertise in the areas of AI and data science; relevant teaching experience; experience with best practices in the development, deployment, and management of AI and data science tools; and industry experience.