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Academic Professional Track (Non-Tenure): Visiting Assistant Professor


TAMU, College Station, Texas
Open Date
Position ID

The Department of Mathematics, College of Science at Texas A&M University invites applications for a Visiting Assistant Professor, full-time, non-tenure track,  Academic Professional Track (Non-Tenure), position with a 9-month, academic appointment beginning August 17, 2020. Applicants will be considered for the faculty titles of Visiting Assistant Professor depending on qualifications. 

Visiting Assistant Professor positions are intended for those who have recently finished their Ph.D.  The position includes reduced teaching and strong support for research in computational and interdisciplinary mathematics.  The position will be in vigorous development of Data Science at Texas A&M University, taking place e.g. in the Research Institute for Foundations of Interdisciplinary Data Science (fids.tamu.edu), the Institute of Data Science (tamids.tamu.edu), and the Institute for Scientific Computation (isc.tamu.edu).  Candidates trained in traditional areas and willing to transition into Data Science are welcomed.


Ph.D. in Mathematics, Statistics, or other Data Science related field.

Application Instructions

Applicants must submit 1) a curriculum vita, 2) a research statement, and 3) a teaching statement.  The application materials must be submitted online at http://apply.interfolio.com/71066. Applicants will also be required to request three confidential letters of recommendation during the process of applying for the position through Interfolio.  Please email Jane Ondrasek at jane@math.tamu.edu with any questions.

Texas A&M University is an Equal Opportunity/Affirmative Action/Veterans/Disability employer committed to building a culturally diverse educational environment. Applications from veterans, individuals with disabilities, women, minorities, and members of other underrepresented groups are strongly encouraged.

The University is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and therefore has a Dual Career Program and implements policies that contribute to work-life balance.