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Assistant Professor - Mathematics and Statistics
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Position Number: 5750667
Location: Lubbock, TX
Position Type: Science - Statistics

Assistant Professor - Mathematics and Statistics

39127BR
Position DescriptionThe Department of Mathematics and Statistics of the College of Arts and Sciences at Texas Tech University invites applications towards a full-time, 9-month, tenure-track position in Mathematical and Statistical Sciences at the Assistant Professor level, to begin Sep 1, 2025. This position was open based on a university strategic initiative and a collaborative program between Mathematics and the College of Engineering, for the area of cyber-mathematics or mathematical foundations on cybersecurity.The department seeks candidates who engage in internationally visible scholarship, establish externally funded research programs, positively interact with the existing research groups, involve both graduate and undergraduate students in their research and outreach, and show excellence in teaching at the graduate and undergraduate levels.Applicants must demonstrate ability to work on interdisciplinary problems and collaborate with facultyfrom multiple Engineering departments.The ideal candidate would be performing research in mathematics and/or statistics, with applications to one or more of the following areas:cybersecurity, scientific computing, machine learning and artificialintelligence.

Position Description
The Department of Mathematics and Statistics of the College of Arts and Sciences at Texas Tech University invites applications towards a full-time, 9-month, tenure-track position in Mathematical and Statistical Sciences at the Assistant Professor level, to begin Sep 1, 2025. This position was open based on a university strategic initiative and a collaborative program between Mathematics and the College of Engineering, for the area of cyber-mathematics or mathematical foundations on cybersecurity.

The department seeks candidates who engage in internationally visible scholarship, establish externally funded research programs, positively interact with the existing research groups, involve both graduate and undergraduate students in their research and outreach, and show excellence in teaching at the graduate and undergraduate levels.

Applicants must demonstrate ability to work on interdisciplinary problems and collaborate with faculty
from multiple Engineering departments.

The ideal candidate would be performing research in mathematics and/or statistics, with applications to one or more of the following areas: cybersecurity, scientific computing, machine learning and artificial
intelligence.

Major/Essential Functions
In line with TTU's strategic priorities to engage and empower a diverse student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with diverse student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service. Other essential functions include the following:

Establish and maintain a rigorous research agenda.
Work with multidisciplinary and interdisciplinary teams in Mathematics and Engineering to seek extramural funding to support research and practice.
Advise and mentor master's and doctoral students.
Supervise graduate student research (including serving on thesis and dissertation committees).
Actively participate in service for the program, department, college, and university committees.
Help the department build a strong program to be commensurate with the University's mission as a Hispanic-serving institution.
Teach courses in person and online.
Collaborate and cooperate with colleagues to fulfill the needs of the departments and college's strategic goals.
Develop and foster partnerships with school districts, community partners, other colleges, and universities for engaged scholarship.
Promote a collaborative, socially just environment within the department, college, and university.

Required Qualifications

An earned doctoral degree in Mathematics, Statistics or related STEM sciences
At least 2 years of experience teaching undergraduate and/or graduate level courses in Mathematics or Statistics
Qualified candidates should have an established record of publications and external funding in their field or related fields.

Preferred Qualifications

Applicants who have strong records of scholarship supported by extramural funding and a very strong peer reviewed publication record are particularly encouraged to apply.
Visibility: The candidate should have a strong professional network evidenced by their reputation in the field.
Research: The candidate should have a proven record of research scholarship.
Teaching: The candidate should have demonstrated strong commitment to teaching scholarship and practice.
Service: The candidate should have demonstrated a commitment to service and engagement at institutional and professional levels.
Mentoring: The candidate should have demonstrated a strong record of mentoring of students, post-docs, or junior faculty and staff.

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information or status as a protected veteran.