Assistant or Associate Professor of Computer Science
About The Position
The College of Engineering and Computing (CEC) at Texas A&M University - Texarkana invites applications for a full-time Assistant/Associate Professor of Computer Science. This tenure-track position focuses on delivering high-quality instruction at the undergraduate and graduate levels, preparing students for roles in Computer Science and Information Technology. The ideal candidate will be a passionate educator capable of engaging students in the practical, theoretical, and technical aspects of computer science. Teaching will involve a load of 3 courses per long semester, including in-person, online, and hybrid formats. The university emphasizes student success, and faculty are expected to maintain regular office hours. The start date is anticipated for Fall 2026 or Spring 2027. Eligibility to work in the U.S. is required at the time of hire, and no pre-employment sponsorship is authorized.
Requirements
- Ph.D. or Doctorate in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Data Analytics, or a closely related field (for Assistant Professor rank).
- Experience teaching or assisting in teaching at the undergraduate level.
- Proficiency in relevant tools and platforms (e.g., Eclipse, R-Studio, GenAI).
- Excellent written and verbal communication skills.
- Commitment to student-centered teaching and continuous improvement.
- Meet all the minimum requirements at the Assistant Professor rank (for Associate Professor rank).
- A high level of accomplishments as measured against the contributions of contemporaries in the field of Computer Science (for Associate Professor rank).
- Research and service commensurate with the university’s guidelines for the rank of associate professor (for Associate Professor rank).
- At least 5 years of experience at the rank of Assistant Professor at a comparable university (for Associate Professor rank).
- Eligibility to work in the U.S. is required at the time of hire.
- Ability to maintain confidentiality.
Nice To Haves
- Ph.D. or Doctorate from an accredited US university.
- Experience in designing and delivering undergraduate computer science and artificial Intelligence/machine learning courses.
- Industry experience or consulting in computer science or related fields.
- Experience teaching in both in-person and online environments.
- Competence in teaching classes on programming languages (such as Java, Python, R, etc.).
- A relevant certification and/or industry experience are preferred.
Responsibilities
- Deliver high-quality instruction at the undergraduate and graduate levels in Computer Science.
- Prepare students for Computer Science/Information Technology based roles in industry.
- Teach 3 courses per long semester, comprising in-person, online, and hybrid classes.
- Keep regular office hours to support student success.
- Engage students in the practical, theoretical, and technical aspects of computer science.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
