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Title Information

Faculty TitleAssistant Professor

Job Class Code10031

FLSAExempt

Position Information

Posting NumberFRGV1903

Working TitleAssistant Professor of Computer Science

Number of Vacancies2

LocationRio Grande Valley, Texas

Division/OrganizationProvost - Academic Affairs

Appointment Period for Non-Tenure Position

Tenure StatusTenure Track

FTE1.0

Scope of Job

The College of Engineering and Computer Science at The University of Texas Rio Grande Valley ( UTRGV ) invites applications for two tenure-track faculty positions in the Department of Computer Science to begin in the fall of 2026.

The Department of Computer Science currently offers several degree programs and research opportunities in the field of computer science with a total enrollment of over 1000 students. The department offers an ABET -accredited Bachelor of Science and a Master of Science in Computer Science, and a PhD program in Computer Science, which began in Fall 2024. The department faculty members perform research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining, and applications of Computer Science. Together, the programs prepare students for graduate study in Computer Science and technology-related fields, as well as careers in industry, particularly in software engineering, machine learning, human computer interaction, and web design/development. For further information regarding UTRGV and the CSCI department, please visit our website athttps://www.utrgv.edu/csci/ (https://www.utrgv.edu/cecs/departments/csci/) . The positions are for tenure track assistant professors; however, exceptional candidates may be considered for credit toward time on tenure track or for appointment as associate professor.

For priority consideration, applications must be received by December 1, 2025. Applications will continue to be reviewed until positions are filled. A complete application will include the following required documents: Curriculum Vitae, Unofficial Transcripts, List of three References, Letter of Interest, Research Statement, and Teaching Philosophy.

About UTRGV :

UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing leading research, healthcare, and application of university discoveries, we support sustainable development, community engagement, and well-being. The University of Texas Rio Grande Valley ( UTRGV ) is committed to building and sustaining a highly qualified and talented faculty to pursue excellence in everything that we do, including teaching, research, and service.

Drawing on our unique identity as the leading Hispanic-Serving Institution in a bilingual and bicultural environment, UTRGV will promote student access and success by building from strength in education and creating a vibrant campus experience. By 2027, we will accelerate transformation in the Rio Grande Valley and beyond by driving meaningful advancements in research and creative works, expanding access to high-quality and affordable healthcare, and fostering authentic community engagement and integration.

UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91% of the students enrolled at UTRGV identify as Hispanic, making UTRGV one of the top 3 universities with the highest percentage of Hispanic students. For additional information, please visit UTRGV website (https://www.utrgv.edu/index.htm) .

Minimum Qualifications

Applicants must have an earned doctorate degree in Computer Science or a related field from an accredited university or be expected to have completed all requirements for the degree by the start date of September 1, 2026.

Discipline Specific Required Qualifications

Applicants must have a strong publication record, and skills in communication and collaboration. Candidates should be able to teach undergraduate/graduate computer science courses and provide evidence of the ability to establish an outstanding, funded research program at UTRGV .

Preferred Qualifications

The department offers a range of research opportunities spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining and its applications. Fitting in line with the department’s existing strengths and areas of need, in both research and teaching, is a substantial consideration. The ideal candidate possesses the following qualities and attributes: 1) experience and/or demonstrated ability developing and teaching courses integrating machine learning, artificial intelligence, data science, and/or intelligent engineering systems content, 2) experience and/or demonstrated ability to lead and propose new research projects and proposals to attract external federal, state, or private funding, such as NSF , DoD, DOE , DARPA , NIH , USDOT , NASA , or others, 3) strong communication skills and teamworking, and (4) demonstrated ability to play a collaborative role as a team member in initiatives for partnerships with schools, community colleges, government agencies, and industry to create an eco-system that will bring economic prosperity to the Rio Grande Valley.

License or Certification Required?No

SalaryCommensurate with Qualifications and Experience

Desired Start Date09/01/2026

Posting Detail Information

EEO Statement

It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.

Open Date10/27/2025

Close Date

Additional Information

UTRGV is a distributed institution. As such and as assigned, the position may require presence at multiple locations throughout the Rio Grande Valley. Work is performed primarily in a general office environment. This position is security sensitive and thereby subject to the provisions of the Texas Education Code §51.215. The retirement plan for this position is Teacher Retirement System of Texas ( TRS ), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program ( ORP ) instead of TRS , subject to the position being 40 hours per week and at least 135 days in length.

Special Instructions to Applicants

All applications must be submitted via the UTRGV application portal athttps://careers.utrgv.edu. Complete all sections on the application. If you are applying for the first time, please complete all biographical information including address, email and phone number. You may update this at any time by selecting to edit your profile in the application. Incomplete applications will not be considered.

Security sensitive: All UTRGV employees are required to have a criminal background check ( CBC ). CBCs will be conducted for all candidates invited for an on-campus interview.

Please Note

Texas law requires faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language ( TOEFL ) or a satisfactory test score of 6.0 on the International English Language Testing System ( IELTS ).

Incomplete applications will not be considered. All positions are subject to budget approval.

Quick Linkhttps://careers.utrgv.edu/postings/49078

Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

+ Curriculum Vitae

+ List of 3 References

+ Letter of Interest

+ Unofficial Transcripts

Optional Documents

+ Resume

+ Cover Letter/Letter of Application

+ Teaching Philosophy

+ Writing / Publication Sample

+ Reference Letter 1

+ Reference Letter 2

+ Reference Letter 3

+ Multi Media

+ Certifications and Licenses

+ Training Certificates

+ Other Document

+ Evidence of Teaching Effectiveness

+ Unofficial Transcripts 2

+ Unofficial Transcripts 3