What are the responsibilities and job description for the Open Rank Tenure Line Faculty in Data Science, Machine Learning, and Artificial Intelligence position at Texas State University?
Posting Information
Posting Information
Position Title
Open Rank Tenure Line Faculty in Data Science, Machine Learning, and Artificial Intelligence
Job Posting Number
2025038TTL
Job Location
San Marcos
Department
College of Science & Engineering
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 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 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
Application Procedures
Only applications submitted and received through the Texas State University website will be accepted and considered: https://jobs.hr.txstate.edu/postings/50601
To ensure full consideration please submit the following by 20 January 2025:
To ensure full consideration please submit the following by 20 January 2025:
- Cover Letter
- Curriculum vitae
- Unofficial transcripts (all in one document)
- Statement of research interests
- Statement of teaching philosophy
Proposed Start Date
Fall 2025
Posting Date
11/26/2024
Review Date
01/20/2025
Close Date
02/16/2025
Open Until Filled?
No
EEO/AA Statement
Texas State University is an equal employment opportunity employer and takes affirmative action to employ covered veterans and people with disabilities.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
Proper documentation of identity and eligibility for employment will be required before the hiring process can be completed.
Why Work at Texas State?
Texas State University is home to more than 38,000 students and 2,000 faculty members in the growing Austin-San Antonio corridor. A member of the Doctoral Universities: Higher Research Activity Carnegie classification, the university creates new knowledge, fosters cultural and economic development, and prepares its growing population of diverse students for the endless possibilities that await them as citizens of Texas, the nation, and the world.
Bolstered by research with relevance and innovation in creative and scholarly work in a full range of academic disciplines and a spirit of inclusiveness, Texas State seeks outstanding candidates for a variety of faculty positions.
