Posting Details

Title Information

Faculty Title Visiting Asst Professor

Job Class Code 00033 Job Code F FLSA Exempt

Position Information

Posting Number PTFRGV0703

Working Title Visiting Assistant Professor in the College of Sciences/School of Mathematical and Statistical Sciences Location Rio Grande Valley Division/Organization Provost - Academic Affairs Appointment Period for Non-Tenure Position Tenure Status Non Tenure Track FTE 1.0 Scope of Job

The School of Mathematical and Statistical Sciences (SMSS) at the University of Texas Rio Grande Valley (UTRGV) invites applications for one non-tenure track Visiting Assistant Professor position in Statistics beginning 09/01/2023, subject to funding availability. Preferred research areas include mathematical statistics, applied statistics and data science, industrial statistics, environmental statistics, biostatistics, statistical machine learning, deep learning, and causal inference. This appointment involves teaching at undergraduate and graduate levels and mentoring and supervision of undergraduate research. A commitment to excellence in both research and teaching is essential.

We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's diverse student body as a Visiting Assistant Professor of School of Mathematical and Statistical Sciences beginning from fall 2023.

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 has multiple campuses spanning four counties. More than 32,000 students are enrolled at UTRGV with a historical record of incoming freshmen in the fall 2022. Over 91% of the students enrolled at UTRGV are identified as Hispanic, making UTRGV one of the top three universities with the highest percentage of Hispanic students.

UTRGV is ranked second among the best public universities in Texas by the 2022 Washington Monthly College Guide and Rankings. For additional information, please visit our website.

Department/College Background

The school has over 45 tenure-track or 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 access to free statistics and mathematics software, such as SAS, STATA, MINITAB, SPSS, Mathematica, and 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 Social Works, 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 SpaceX), the South Texas Institute of Diabetes and Obesity, Doctor's Hospital at Renaissance (Edinburg), the UTHealth School of Public Health-Brownsville (Brownsville).

Minimum Qualifications

Applicants must have a Ph.D. in Statistics or related fields at the time of appointment with demonstrated potential for research productivity

Discipline Specific Required Qualifications

Areas of emphasis include mathematical statistics, applied statistics and data science, industrial statistics, environmental statistics, biostatistics, statistical machine learning, deep learning, and causal inference.

Preferred Qualification

Applicants with an active research program, experience in teaching a diverse student body, and the ability to use technology and innovative teaching practices are preferred.

Salary Commensurate with Qualifications and Experience License or Certification Required? No Number of Vacancies 1 Desired Start Date 09/01/2023

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 Date 04/30/2023 Special Instructions to Applicants

Complete all sections on the application. If you are applying for the first time please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application. Security sensitive; conviction verification conducted on applicant selected.

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.

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.

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.

EEO Statement

The University of Texas Rio Grande Valley (UTRGV) is an Equal Employment Opportunity/Affirmative Action employer. UTRGV promotes and ensures 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. Our university is committed to complying with all government requirements and ensures non-discrimination in our education programs and activities, including employment.

An eligible veteran, surviving spouse of a veteran or an orphan of a veteran is entitled to preference in the selection process over other applicants who do not have greater qualifications. Further, we grant an employment preference to former foster youth who were in the permanent managing conservatorship of the Texas Department of Family and Protective Services on the day preceding the individual's 18th birthday over other applicants for the same position who do not have a greater qualification.

We encourage women, minorities and differently abled persons to apply for employment positions of interest.

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 Link https: // careers.utrgv.edu/postings/38176

Posting Supplemental Questions

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Applicant Documents

Required Documents

Curriculum Vitae

Unofficial Transcripts

List of 3 References

Letter of Interest

Teaching Statement

Research Statement

Optional Documents