Open Rank Tenure Line Faculty in Data Science, Machine Learning, and Artificial Intelligence

Overview

Open Rank Tenure Line Faculty in Data Science, Machine Learning,
and Artificial Intelligence

Job Posting Number: 2025038TTL

Position Description

The Department of Computer Science and the Department of
Mathematics at Texas State University seeks applications for two
tenure- track faculty positions at the Assistant Professor,
Associate Professor and/or Professor ranks. The appointments will
be at least 60% in one of the departments. The primary department
will depend on the qualifications of the candidate.

The successful candidate is expected to establish and maintain a
strong record of high-quality research in Data Science, Machine
Learning, and Artificial Intelligence. The successful candidate
will teach mathematics and/or computer science courses at the
undergraduate and graduate levels and will show dedication to
mentoring students. The successful candidate will also participate
in self-governance of the primary department through service to the
department, college, and university, and engage in service to the
professional community

The Department of Mathematics is a growing department with a broad
range of strengths in Analysis, Topology, Algebra, Combinatorics,
Statistics (including Data Science and Machine Learning), Applied
Mathematics, Logic, and Mathematics Education. The department is
excited to start its new Ph.D. program in mathematics in Fall 2025
to complement its Ph.D. program in mathematics education and its
master’s programs. Our faculty members have over $3 million in
active grants. Our faculty members include a Sloan Fellow and
multiple NSF CAREER awardees.

The Department of Computer Science is dedicated to advancing
excellence in both education and research. Our faculty are actively
engaged in transformative research across diverse areas, with
particular strengths in artificial intelligence and machine
learning, cybersecurity and networks, human-computer interaction,
high-performance computing, and software engineering. Faculty
members have received prestigious awards, including faculty awards
from Facebook, Google, and IBM, multiple NSF CAREER awards, a DOE
Early Career, and a PECASE award. The Ph.D. program is the first in
Texas to combine advanced computer science theory and practice with
entrepreneurial and commercialization skills, preparing students to
become leaders in both academia and industry.

Both the Mathematics and Computer Science departments strive to
create a welcoming environment that invites students from a wide
range of backgrounds to major in mathematics and computer science.
We invite applicants who are enthusiastic about mentoring students
at undergraduate and graduate levels to reach their
potential.

Both departments are dedicated to success of their junior faculty,
providing support through formal mentoring, reduced teaching and
service loads, collaboration and collegiality, and opportunities to
participate in university-wide professional development
programs.Both departments are in the College of Science and
Engineering and will be moving into a newly constructed building in
Fall 2026.

The Austin-San Antonio area has many opportunities for
collaborations outside of the university and increasing demand for
expertise in AI and data science. Major companies such as Dell,
Tesla, Google, IBM, AMD and Apple have a large presence in the
Austin area. San Antonio is home to USAA and Rackspace and is a
center for healthcare and biosciences. Many of our faculty have
collaborations with industry and nearby universities.

The selected candidate will be given the appropriate rank based on
experience, and college and university regulations.

Required Qualifications

Required Qualifications (Assistant
Professor):
• An earned doctorate in Mathematics, Statistics, Computer
Science or a closely related field prior to employment.
• Evidence of or potential for research excellence in Data
Science, Machine Learning, and/or Artificial Intelligence. Recent
publications will be emphasized, but all publications will be
considered.
• Evidence of or potential to obtain external funding
• Evidence of or potential for excellence in teaching and
mentoring students.
• An ability to contribute to the primary departmental
mission.

Required Qualifications (Associate
Professor):
• An earned doctorate in Mathematics, Statistics, Computer
Science or a closely related field.
• Evidence of research excellence in Data Science, Machine
Learning and/or Artificial Intelligence. Recent publications will
be emphasized, but all publications will be considered.
• Evidence of having obtained research grants.
• Evidence of excellence in teaching and mentoring students.
• Ability to contribute to the mission of the primary
department.

Required Qualifications (Professor):
• An earned doctorate in Mathematics, Statistics, Computer
Science or a closely related field
• Evidence of a sustained record of research excellence in Data
Science, Machine Learning or Artificial Intelligence. Recent
publications will be emphasized, but all publications will be
considered
• Evidence of a sustained record of obtaining research
grants
• Evidence of excellence in teaching and mentoring students
• Ability to contribute to the mission of the primary
department

Preferred Qualifications

Preferred Qualifications (Assistant
Professor):
• Potential for interdisciplinary research collaboration
• Ability to teach courses in both departments
• Ability to contribute to the mission of the secondary
department

Preferred Qualifications (Associate
Professor/Professor):
• Evidence of interdisciplinary research collaboration with
current faculty.
• Ability to teach courses in both departments
• Ability to contribute to the mission of the secondary
department

Full Consideration Date:

Close Date: 02/16/2025

Open Until Filled? No

Quicklink: https://jobs.hr.txstate.edu/postings/50601

For a detailed description of this position and to apply, visit
https://jobs.hr.txstate.edu/postings/50601
or call (512) 245-2557 or visit our office at 601 University Dr.,
J.C. Kellam Bldg., Suite 340.

About Texas State and San Marcos:

Texas State University is a emerging research institution located
in the burgeoning Austin-San Antonio corridor and in the beautiful
Texas Hill Country. It is the largest of eight campuses in the
Texas State University System and one of the 75 largest
universities in the country, with over 38,000 students and
approximately 4,000 faculty and staff

Texas State is located in San Marcos, a growing community of over
50,000 people located about half way between Austin and San
Antonio. Texas State enjoys a setting that is unique among Texas
universities. The beauty of the crystal-clear San Marcos River and
the stately cypress and pecan trees on the campus add to the charm
of the university’s picturesque setting. Our location on the banks
of the San Marcos River provides outdoor recreational activities
throughout the year.

Why work @ Texas State?

• Amazing health insurance: various coverage options starting your
first day of employment for full-time employees with Texas State
paying 100% of the employee premium and 50% for your
dependents!

• Generous paid time off: vacation, holidays, sick days and many
more!

• Excellent work life balance resources: mother and family-friendly
resources in addition to a comprehensive FREE wellness
program

• Great professional development opportunities: choose from a
variety of workshops, training, online learning and even access
educational leave opportunities and reimbursement for academic
courses

• An inclusive Bobcat community: join our many social networks
offered on and off-campus

• Retirement peace of mind: TRS pension, retirement plans and
voluntary saving options with generous employer contributions

By joining the Texas State Bobcat team, you’ll be a part of one of
the most beautiful, diverse, and growing universities in the
nation.

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Company:

Texas State University

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Academia, Classification, Machine Learning, NLP, United States