Teach courses, perform research, and fulfill service mission for the Department of Computer Science.
Tennessee Tech is an Equal Opportunity/Affirmative Action employer.
Teach undergraduate courses, engage in service, and advise students on academic curricula, professionalism, and career opportunities.
Those typical of any classroom-type environment or office environment.
To apply, please visit the full job description at https://jobs.tntech.edu and electronically upload a letter of application, curriculum vitae, copies of transcripts (official transcripts for all degrees conferred required upon hire), teaching philosophy (including philosophy and experience teaching students from ethnically and socio-economically diverse backgrounds) and contact information for three references. References will be contacted via email to provide a reference letter if selected for interview. Submission of materials is the applicant’s responsibility. Applications without all required materials are incomplete and will not be considered.
Salary and rank commensurate with qualifications and experience. Full-time, nine-month, non-tenure track position to begin August 1, 2026. Renewable appointment based on satisfactory performance, the needs of the department, and funding.
The University offers a competitive benefits package. Benefits include the accumulation of one sick leave day per month, and thirteen University holidays. Other benefits include medical and life insurance (shared cost with the university), retirement, optional 401k, and educational benefits.
Master’s degree from an accredited institution in computer science or a closely related field by the start date of employment. Ability for teaching excellence at the undergraduate level. Effective communication and interpersonal skills.
Earned doctorate or completion of all coursework (ABD) from an accredited institution in computer science or a closely related field by the start date of employment. All areas of expertise in computer science will be considered, with a preference given to candidates with undergraduate teaching experience in core topics including programming, data structures, algorithms, theory, databases, systems, and software engineering.
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