Job Details

ID #52265949
Estado Texas
Ciudad Texasamuniversity
Full-time
Salario USD TBD TBD
Fuente Texas A&M University - Faculty
Showed 2024-08-08
Fecha 2024-08-09
Fecha tope 2024-10-08
Categoría Etcétera
Crear un currículum vítae
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Tenure-Track: Assistant Professor

Texas, Texasamuniversity 00000 Texasamuniversity USA
Aplica ya

Tenure-Track: Assistant Professor Mathematics Location Texas A&M University, College Station, TX Open Date 8/8/2024 Position ID 143355 Description The Department of Mathematics, College of Arts and Sciences, at Texas A&M University anticipates two openings for an assistant professor (tenure-track) position in the general area of data science and computational mathematics, with particular interest in (but not limited to) numerical analysis; large scale scientific computing; computational linear algebra; numerical optimization; approximation theory; learning theory; and data, signal, and image processing. These are full-time positions with 9-month academic appointments beginning in the fall semester 2025. Candidates are expected to have made significant contributions in their research field and provide evidence of excellence in teaching. Research productivity beyond the doctoral dissertation will normally be expected. Responsibilities for these positions include teaching at the graduate and undergraduate levels, research, and service to the Department and the University. Qualifications A Ph.D. in Mathematics or related field. Application Instructions For full consideration, applications should be received by September 30, 2024. We will continue to review applications until the positions are filled. Applicants should post a cover letter, CV, Personal statement to include philosophy and plans for teaching, research, and service as applicable, and arrange to have at least four confidential letters of recommendation, one of which should address teaching, posted in Interfolio. The application materials must be submitted online at http://apply.interfolio.com/150201 (http://apply.interfolio.com/92456) Questions regarding this position can be sent to: Sonja Kubecka ( [email protected] )

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