Assistant Professor in 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 Computational Mathematics

Job Class Code: 10031
FLSA: Exempt
Posting Number: FRGV1105
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 Assistant Professor position in the areas of Computational Mathematics to begin in Fall 2021. The School of Mathematical and Statistical Sciences is engaged in a broad range of interdisciplinary initiatives. Our research projects frequently involve connections with other disciplines such as applied physics, biology, electrical engineering, geology and computer sciences/engineering. Applicants must demonstrate outstanding research ability and have a Ph.D. in Mathematics or a closely related field. Applicants should also have strong records or promise, as undergraduate and graduate instructors. Ideal candidates will have interdisciplinary interests that complement and enhance UTRGV's current and vibrant research strengths in numerical linear algebra, mathematical biology, computational geometry, numerical optimization, dynamical systems, numerical partial differential equations, and computational fluid dynamics.

The School of Mathematical and Statistical Sciences faculty have active research programs in pure and applied mathematics, statistics, and mathematics education with over 40 tenured/tenure-track faculty, over 50 graduate students, over 350 student majors, and 80 student minors. The School offers multiple graduate and undergraduate degrees in mathematics, statistics, and mathematics education. The School is anticipating its own interdisciplinary Ph.D. program in Mathematics and Statistics with Interdisciplinary Applications which is currently at the final stage of approval. Excellent opportunities exist for collaborations with colleagues in several colleges and departments across the university, including 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. The School of Mathematical and Statistical Sciences faculty closely collaborate with 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.

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 Mathematics, Applied Mathematics, or a related field at the time of hire with emphasis in Computational Mathematics. Domains of interest include, for example, developing accurate and efficient numerical methods for solving physical or biological models, numerical methods in linear algebra and optimization, computational geometry, computational fluid dynamics, or developing computational tools/algorithms to better understand data and structures. Computational mathematics is a field closely connected with a variety of other mathematical branches. Often a better mathematical understanding of problems leads to innovative numerical techniques. Indeed, all areas of computational mathematics are welcome.


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


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 experience in computational mathematics are encouraged to apply. Applicants will be expected to contribute to future doctoral programs, including the above mentioned Ph.D. program in Math and Statistics.


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: 11/11/2020

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 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; background verification conducted on applicant selected.


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/26422

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