Instructional Assistant Professor of MathematicsAgency
Texas A&M University - San AntonioDepartment
Department of Computational, Engineering, and Mathematical SciencesProposed Minimum Salary
San Antonio, TexasJob Type
The Department of Computational, Engineering, and Mathematical Sciences at Texas A&M University-San Antonio (A&M-SA) seeks applications from qualified candidates, with a passion for teaching, for a full-time non-tenure-track Instructional Assistant Professor position in mathematics. Appointment can begin in Spring or Fall of 2024. The specialization is open. Excellence in teaching at all levels of the curriculum, participation in grant funded developmental projects, and ability to collaborate with partner institutions on improving success rates in entry- level mathematics courses is expected. Contribution to improving student success in entry level mathematics courses is a high priority for the institution. The base teaching load at A&M-SA for Instructional Assistant Professor is 4/4. Summer teaching assignments may be available but are not guaranteed. Service to the department, college, university, and the community is expected. This is a position that requires teaching in person on campus, though a few courses may be taught online.
The Department provides a rich educational experience for students interested in computing, cybersecurity, engineering technology, and mathematics. We offer bachelor’s degree programs in these disciplines as also support courses in physics for STEM majors. We also offer Master's degree programs in Computer Science and Cybersecurity. Our students enjoy learning in person and in online/hybrid courses with small class sizes, and state-of-the-art technology, in high-tech classrooms. We emphasize hands-on experiential learning and critical thinking, and the participation of students in research under our faculty’s mentorship.
Salary: Commensurate with experience and qualifications.
Required Education and Experience:
A Ph.D. in Mathematics or a closely related field from a regionally accredited institution. All areas will be considered.
A minimum of 18 graduate credit hours in mathematics.
Evidence of potential for improving student success in entry level mathematics courses.
Excellent skills in interaction and communication with students, faculty, and staff.
Evidence of excellence in mathematics teaching at the university level, commensurate with the rank of Instructional Assistant Professor.
Preferred Education and Experience:
Excellence in mathematics teaching at the university level, commensurate with the rank of Instructional Assistant Professor.
Potential for collaboration with faculty on projects geared toward students’ academic success.
In the cover letter please speak to the following topics:
Engagement with teaching Mathematics.
Experience with improving student success in entry level Mathematics courses and grant funded projects targeting that goal.
Long term plans for involvement in enhancing the breadth, depth and quality of our students' educational experiences.
Application Process: Applicants must complete online (https://tamus.wd1.myworkdayjobs.com/TAMUSA_External ) (1) the application/Faculty Form, and upload (2) a cover letter, (3) curriculum vitae which includes a list of three references that will be willing to provide letters of recommendation if requested (do not include letters at the time of application), and (4) unofficial copies of transcripts. A single pdf file containing all required application material should be uploaded. No changes or revisions may be made to the submitted documents once they have been uploaded. If you need assistance with this process please contact Human Resources at (210) 784-2058 or email AM-SAOfficeof.HumanResources@tamusa.edu.
Application review will begin as soon as they are submitted. The position is open until filled.
Finalists (and only finalists) must request at least three current letters of recommendation, with the subject ‘Instructional Assistant Professor of Mathematics –Letter of Recommendation – Applicant Name’ to be sent directly by the author to the Chair - Search Committee for Mathematics, via postal mail (Address: Dr. Elizabeth Leyva, Department of CEMS, Texas A&M University-San Antonio, One University Way CHB 334W, San Antonio, TX 78224) or by email delivery (email@example.com). The letter of recommendation should be written on official letterhead, be less than one year old, and must bear the writer's actual signature. If selected, finalists must pass a pre-employment background investigation to be appointed to the position.
Official transcripts of the candidate selected for the position must be on file with the Office of the Provost and sent directly from each degree-granting institution to Texas A&M University-San Antonio
(1) to the address listed below or
(2) sent electronically to Mirley.Balasubramanya@tamusa.edu. We cannot accept transcripts issued directly to the candidate. If transcripts are from an international institution, it is the responsibility of the prospective faculty member to have the transcripts translated and evaluated by an approved credential evaluator (e.g., AACRAO; http://www.aacrao.org/credential/index.htm).
Texas A&M University-San Antonio
Chair, Department of Computational, Engineering, and Mathematical Sciences Texas A&M University-San Antonio
ATTN: Dr. M.K. Balasubramanya
One University Way
San Antonio, Texas 78224
Please direct any questions to Dr. Elizabeth Leyva: (firstname.lastname@example.org)
Summary of Employee Benefits:
Texas A&M University-San Antonio values community engagement and encourages applicants who are committed to advancing the well-being and prosperity of our communities.
Please ensure that all required documents are uploaded prior to submitting the application. Once the application is submitted, no changes or revisions can be made. If you have issues with adding documents to your application, please contact HR at 210-784-2058.
In compliance with ADA, if accommodations are needed for the application process, please contact HR at (210) 784-2058.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer.