Assistant Professor in Statistics Computational Mathematics

Employer
University of Texas Rio Grande Valley
Location
Texas, United States
Salary
Salary Not specified
Posted
Nov 16, 2020
Employment Level
Non-Tenured Track
Employment Type
Full Time


Assistant Professor in Statistics Computational Mathematics

Job Class Code: 10031
FLSA: Exempt
Posting Number: FRGV1106
Location: Rio Grande Valley
Division/Organization: Provost - Academic Affairs
Appointment Period for Non-Tenure Position:
Tenure Status: Tenure Track
FTE: 1

Scope of Job:
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 2020 semester. For additional information, please visit our website.

We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's diverse student body as an Assistant Professor of The School of Mathematical and Statistical Sciences beginning in the 2021-2022 academic year.

The School of Mathematical and Statistical Sciences at the University of Texas Rio Grande Valley invites applications for one tenure track position, at the rank of Assistant, Associate or Full Professor in the areas of Statistics/Computational Mathematics. Preferred research areas include applications of statistics and computational mathematics in machine learning, deep learning, data science, medical and public health, environmental sciences, economics, and actuarial sciences. Number of years to tenure may be negotiated depending on the candidate's demonstrated capacity for independent research and potential to earn grant funding.

SMSS faculty have active research programs in statistics, pure and applied mathematics, and mathematics education with over 40 tenure-track and tenured faculty. The school offers multiple graduate and undergraduate degrees in statistics and mathematics and is developing a new Ph.D. program in Mathematics and Statistics with Interdisciplinary Applications, now at the final stages of approval. 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 South Texas Institute of Diabetes and Obesity (Edinburg), Doctor's Hospital at Renaissance (Edinburg), and the University of Texas School of Public Health (Brownsville).

This appointment involves teaching at undergraduate and graduate levels and requires mentoring and supervision of undergraduate research, graduate research, and master's thesis. A commitment to excellence in both research and teaching as well as providing service to the community and profession are essential. The new Assistant Professor should contribute significantly to community engagement efforts across the unit and the newly established BS in Statistics and MS in Applied Statistics and Data Science.

We seek to increase the representation of historically underrepresented faculty in the sciences, including underrepresented minority and women faculty. We value applicants who can understand and have overcome race, gender-based, and ability-based barriers, and who can bring with them the wealth of worldview, perspective, and experience that is critical to an innovative and accessible educational environment. As a federally designated Hispanic Serving Institution, UTRGV is committed to preparing its students to succeed, contribute and excel in an increasingly diverse, global, and interconnected world, and seeks faculty who are prepared to help in this goal.

Please note the required documents for this posting:
1. Curriculum Vitae
2. 3 references, with at least one capable of addressing teaching
3. Letter of interest
4 Unofficial undergraduate and graduate transcripts (official transcripts will be required at the time of hire)
5. Teaching statement including use of technology in teaching
6. Research statement
7. Diversity statement
8. References to at most 3 representative publications


Minimum Qualifications:
Applicants must have a Ph.D. in Statistics or Computational Math (with emphasis on data science) or a related field with demonstrated potential for research productivity and extramural funding. Areas of emphasis include statistical methods and computational methods for big data, computational statistics, biological and health sciences, statistical machine learning, deep learning, data science, causal inference, graphical models and sampling and design for large-scale studies. However, all areas of statistics, and computational mathematics are welcome.


Discipline Specific Required Qualifications:
A commitment to excellence in both research and teaching as well as a dedication to providing service to the community and profession.


Preferred Qualification:
Applicants with an active research program, experience in teaching a diverse student body and ability to use technology to support teaching and learning are preferred. Applicants with postdoctoral or industry experience in statistics or computational mathematics 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, currently in its final approval steps, and likely starting in Fall ’21.


Salary: Commensurate with Qualifications and Experience
License or Certification Required?: No
Number of Vacancies: 1
Desired Start Date: 09/01/2021

EEO Statement:
The University of Texas Rio Grande Valley is an Equal Employment Opportunity/Affirmative Action employer. 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 nondiscrimination in its 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.


Open Date: 11/09/2020

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.

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; 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.


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.


To apply, visit https://careers.utrgv.edu/postings/26423

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