The University of Texas Rio Grande Valley

Job Description

Full job description

Number of Vacancies

Edinburg, Texas

College of Sciences / Mathematical and Statistical Sciences



Scope of Job
We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley’s student body as a Postdoctoral FellowofThe School of Mathematical and Statistical Sciences (SMSS) beginning in the 2024-2025 academic year. The Postdoctoral Fellow is a Trainee position to pursue research as a vital component of their educational mission and professional career development. Works under minimal supervision with some latitude in the use of initiative and independent judgment in research and/or teaching. Performs teaching and/or research work as required within the classroom and/or project assigned.

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.

Description of Duties
Funding for the position has been provided for up to three years. The postdoctoral fellow’s first year will be devoted to the award: Mathematical Modeling of Brain Structure in Neurodegenerative Diseases Exhibiting Prion-Like Spreading. The focus will be building and validating models to study the influence of brain structure in neurodegenerative diseases. During the first year, the candidate will be fully funded through the NSF Award #2316952 ( and no teaching duties are expected to be performed.

The final two years involve anticipated teaching assignment of 2 courses per semester and scholarly research under the supervision of UTRGV faculty members within the School of Mathematical and Statistical Sciences.

The following is a listing of typical duties that may be applicable to the position:Developing, testing, and analyzing research projects based on application expertise and interest; Aiding in the development of a survey instrument, testing the instrument and disseminating the instrument; Writing narrative summaries of the research results, and related tasks under the supervision of the faculty member assigned; Conducting background research; Developing and implementing an evaluation plan and preparing progress reports as needed; Studying, testing, and maintaining accurate data identified as relevant and/or best practice systems from research results obtained through national studies; Designing and implementing training activities as required; Publishing in peer-reviewed publications related to the focus of the research activities assigned; and performing other job-related duties as assigned.

Supervision Received
General direction from the faculty supervisor.

Supervision Given

Required Education
Applicants must have Ph.D. that has been conferred within the last six years in Mathematics, Applied/Computational Mathematics, Statistics, or closely related fields from an accredited university, with at least 18 graduate hours in a mathematics content area.

Preferred Education


Required Experience

Preferred Experience
Working knowledge of ordinary/partial differential equations, analysis, and probability.
Published articles or preprints in Mathematical Biology/Ecology/Epidemiology/Neuroscience.
Prior research mentoring experience.
Prior interdisciplinary work.

Use of personal computer and proficiency in software and research statistical applications. Advanced knowledge of both the C++ and Python programming languages.

Working Conditions
Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley.

This is a trainee position subject to a specific time as agreed to by stakeholders. Strong mathematical modelling and analysis/simulation skills as evidenced by publications. Knowledge of one or more programming languages

Physical Capabilities

Employment Category

Minimum Salary
Commensurate with Experience

Posted Salary
Commensurate with Experience

Position Available Date

Grant Funded Position

If Yes, Provide Grant Expiration Date
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.

Special Instructions to Applicants
Dear Applicant,

Human Resources will not be held responsible for redacting any confidential information from the documents you attach with your application. The confidential information includes the following:

Date of Birth
  • Ethnicity/Race

Please make sure that you omit this information prior to submission. We are advising that Human Resources will be forwarding your application to the department as per your submission. The University of Texas Rio Grande Valley reserves the right to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3) calendar days.

If you have any questions, please do not hesitate to contact us at (956) 665-2451 and/or

Additional Information
UTRGV is a distributed location institution and working location is subject to change based on need.

All UTRGV employees are required to have a criminal background check (CBC). Incomplete applications will not be considered.

Substitutions to the above requirements must have prior approval from the VP of HR & Talent Development .

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