Assistant Professor, Computer Science

Position Details

The Department of Computer Science in the College of Social Sciences, Mathematics, and Education at The University of Tampa invites applications for a full-time tenure-track Assistant Professor position for the 2026-27 academic year, beginning in August 2026.

The in Computer Science is a rapidly growing program that welcomed its inaugural class in 2021-22. This position offers an exciting opportunity to help shape the direction of a young and evolving program committed to excellence in undergraduate education.

The faculty and administrators in CSSME, along with professional staff across the University, will provide meaningful support for your teaching and scholarship as elements of your personal and career development. We encourage you to grow professionally, and we support a healthy work-life integration to nurture that growth. The vision of the College of Social Sciences, Mathematics, and Education is “Empowering learners to make a difference.” All candidates are expected to contribute to the diversity of our curriculum and community. We are searching for teacher-scholars who will serve as mentors for our diverse student body, and who have a demonstrated commitment to the academic success of all students.

Review of applications will begin immediately and continue until the position is filled.

Qualifications

The ideal candidate will :

Hold a in Computer Science or a closely related field (ABD considered; however, the terminal degree must be earned by July 2026).

Possess a broad background in computer science with the ability to teach across the curriculum.

Demonstrate potential for outstanding teaching, strong written and oral communication skills, and a commitment to high academic standards.

Show evidence of an active research agenda, with potential to involve undergraduates.

Have experience teaching undergraduates (preferred).

Exhibit the ability to work both independently and collaboratively, with excellent organizational and leadership skills.

Be committed to remaining current in both teaching and scholarship.

Responsibilities

Responsibilities include teaching courses at the undergraduate level, advising students, conducting research and scholarly work, and participating in academic and professional service activities. The normal teaching load is three 4-credit undergraduate courses per semester. The successful candidate is expected to :

Teach a wide variety of undergraduate courses in computer science.

Develop new courses in relevant areas of expertise.

Advise and mentor undergraduate students.

Conduct and disseminate scholarly research.

Contribute to curriculum development, program assessment, and departmental service.

Support the mission of the Department, College, and University through collegial engagement and community involvement.

Strong candidates from all areas within computer science will be considered; however, applicants with teaching experience and active research in software engineering and DevOps, data mining and data management, machine learning and artificial intelligence, computer graphics and visualization, and human-computer interaction are especially encouraged to apply.

Candidates should be committed to excellence in teaching, research, and service. The successful candidate will be a dynamic and inclusive teacher-scholar who values engaging teaching, meaningful mentorship, and impactful scholarship. Innovative teaching and research approaches are welcome, and a strong emphasis is placed on teaching excellence, scholarly productivity, and service.

Required Attachments

All required documents listed below should be uploaded to the attachment box at the bottom of the "My Experience" page of the application before continuing through the application.

Cover letter

Curriculum vitae

Statement of teaching philosophy

Statement of research agenda

Graduate transcript (unofficial is acceptable for initial review)

Contact information for at least four professional references

Upon request, applicants may also be asked to provide a short video sample of their teaching.