Assistant Professor-Statistics in the College of Sciences/School of Mathematical and Statistical Sciences
Job Class Code:
Rio Grande Valley
Provost - Academic Affairs
Appointment Period for Non-Tenure Position:
Scope of Job:
The School of Mathematical and Statistical Sciences (SMSS) at the University of Texas Rio Grande Valley (UTRGV) invites applications for one tenure track position, at the rank of Assistant Professor in Statistics. Preferred research areas include multidisciplinary applications of statistics and data science in big data, computational statistics, actuarial sciences, economics, biological and health sciences, environmental sciences, statistical machine learning, deep learning, and causal inference. This appointment involves teaching at undergraduate and graduate levels and requires mentoring and supervision of undergraduate research, graduate research, and master's theses. A commitment to excellence in both research and teaching as well as providing service to the community and profession are essential. In addition to contributing immensely to the newly established BS in Statistics, MS in Applied Statistics and Data Science and soon-to-start PhD in Mathematics and Statistics with Interdisciplinary Applications, the newly hired Assistant Professor is expected to get involved significantly in community engagement efforts. Tenure-track credit for past work experience may be negotiated depending on the candidate's demonstrated capacity for independent research and potential to earn grant funding among other criteria.
We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's
diverse student body as an Assistant Professor
of School of Mathematical and Statistical Sciences
beginning in the 2022-2023 academic year. About UTRGV:
It is UTRGV's Vision “To be one of the nation's leaders in higher education, its premier Hispanic-serving institution, and a highly engaged bilingual university, with exceptional educational, research, and creative opportunities that serve as catalysts for transformation in the Rio Grande Valley and beyond
.” As such, UTRGV is committed to building a diverse faculty and staff that can contribute to an enriching learning environment that strives for more equitable outcomes for student success. 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. Thanks to a steadfast commitment to safety and success, UTRGV yielded record-breaking outcomes in enrollment and student success in the fall 2022 semester. For additional information, please visit our website
. Department/College Background
The school has over 40 tenure-track and tenured faculty with active research programs in statistics, pure and applied mathematics, and mathematics education. The school offers multiple graduate and undergraduate degrees in statistics and mathematics and has started a new Ph.D. program in Mathematics and Statistics with Interdisciplinary Applications in fall 2021. Candidates for this position are expected to strengthen and complement our research on Branching Stochastic Processes, Random Iterations, Characterizations of Probability Distributions, Statistical Computing, High Dimensional Problems and Large Data Set Problems arising in the areas of Public Health and Biostatistics, Survival Analysis, Longitudinal Data Analysis, Statistical Methods in Epidemiological Research, Statistical Data Mining, Survival Data Modeling, Mathematical Modeling of Infectious Diseases, and Environmental Problems. The position offers attractive start-up funds, salary, access to free statistics and mathematics software, such as, SAS, STATA, MINITAB, SPSS, Mathematica, MATLAB. Excellent opportunities exist for collaborations with colleagues in several colleges and departments across the university that include the School of Medicine, School of Nursing, College of Health Professions, College of Sciences, College of Engineering and Computer Science, and the College of Business and Entrepreneurship. SMSS faculty closely collaborate with researchers from the STARGATE project (a public-private partnership between UTRGV and the local Space Science industry), the South Texas Institute of Diabetes and Obesity, Doctor's Hospital at Renaissance (Edinburg), the University of Texas School of Public Health (Brownsville).
Applicants must have a Ph.D. in Statistics or related fields (with emphasis on data science) at the time of appointment with demonstrated potential for research productivity and extramural funding.
Discipline Specific Required Qualifications:
Areas of emphasis include multidisciplinary applications of statistics and data science in big data, computational statistics, actuarial sciences, economics, biological and health sciences, environmental sciences, statistical machine learning, deep learning, and causal inference.
Applicants with an active research program, experience in teaching a diverse student body and ability to use technology and pedagogy to support teaching and learning are preferred. Applicants with postdoctoral or industry experience in statistics and those with experience teaching upper level or graduate level courses in statistics or data science are encouraged to apply. Faculty will be expected to contribute to a Ph.D. program in Mathematics and Statistics with Interdisciplinary Applications that has started in Fall ’21.
Commensurate with Qualifications and Experience
License or Certification Required?:
Number of Vacancies:
Desired Start Date:
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. Diversity Statement
UTRGV is a Hispanic-serving Institution dedicated to student success and building a diverse faculty committed to working in a multicultural environment. UTRGV has an NSF ADVANCE grant to increase the representation of women in STEM fields and to promote a positive, family friendly workplace for all faculty. We strongly encourage applications from women and minorities.
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 *Social Security Number *Gender *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.
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: Required Documents
1. Curriculum Vitae2. List of 3 References3. Letter of Interest4. Research Statement5. Teaching Statement6. Diversity Statement7. Unofficial Transcripts
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.
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.
To apply, visit https://careers.utrgv.edu/postings/30539
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