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Posting Information

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

Job Posting Number2026066TTL

Job LocationSan Marcos

DepartmentIngram School of Engineering

Position Description

TheIngram School of Engineering (http://engineering.txstate.edu/) invites applications for a tenure-track faculty position at the ranks of Assistant Professor, Associate Professor, or Professor. This position is directly supported and motivated by the University’sRun to R1 (https://www.president.txst.edu/strategic-vision/run-to-r1.html) strategic initiative, which seeks to elevate Texas State University to a “Very High Research Activity” (Research-1) status. The school’s priorities are fully aligned with the university’s Road to R1 goals, ensuring strong institutional support, access to advanced research infrastructure, and expanded opportunities for securing significant external funding.

Strategic Research Areas

The Ingram School of Engineering seeks to strengthen its research portfolio in Artificial Intelligence, Machine Learning, and Data Science, one of the university’s strategic research areas.

The successful candidate will be expected to:

+ Increase the research capabilities of the Ingram School of Engineering in Artificial Intelligence, Machine Learning and/or Data Science.

+ Demonstrate a strong commitment to student-centered teaching and mentorship at both undergraduate and graduate levels.

+ Collaborate with faculty across the Ingram School of Engineering, the College of Science and Engineering, and other Texas State departments.

+ Contribute to curriculum and program development.

+ Build partnerships with external stakeholders, including industry professionals, government agencies, national labs, and corporations.

+ Engage in university and professional service and participate in shared governance of the school.

+ Possess expertise in one or more of the following research areas:

AI, Machine Learning and/or Data Science for Mechanical and Manufacturing

Systems

Including AI-enabled digital twins, generative design, structural health monitoring,

predictive maintenance, robotics, human-robot interaction, and advanced manufacturing.

AI, Machine Learning and/or Data Science for Quality Control and Process Analytics

Leveraging computer vision, real-time sensing, data analytics, and edge computing for

manufacturing quality and efficiency.

AI, Machine Learning and/or Data Science for Supply Chain and Industrial

Optimization

Focused on smart, sustainable logistics networks, demand forecasting, inventory

management, transportation optimization, and process improvement.

AI, Machine Learning and/or Data Science for Communications and Computing

Covering next-generation wireless systems, RF technologies, neuromorphic and edge

computing architectures, passive RF sensing and energy-efficient AI acceleration.

AI, Machine Learning and/or Data Science for Emerging Technologies

Such as quantum control systems, hybrid quantum-classical algorithms, and AI-assisted

optimization for energy systems.

About the Ingram School of Engineering:

Founded in 2007 through generous endowments from the Ingram family, the school is dedicated to delivering exceptional education and advancing cutting-edge research across multiple engineering disciplines. We offer Bachelor and Master of Science programs in Civil, Electrical, Industrial, Manufacturing, and Mechanical Engineering, as well as three newly launched Ph.D. programs in Civil Engineering, Electrical Engineering, and Mechanical/Manufacturing Engineering. These doctoral programs emphasize Artificial Intelligence and Disruptive Technologies, innovation, and commercialization. Faculty also contribute to the multidisciplinary Materials Science, Engineering, and Commercialization Ph.D. program within the College of Science and Engineering. Our dynamic environment has contributed to significant enrollment growth, resulting in a doubling of undergraduate and graduate student numbers within the past few years.

Our culture emphasizes student-centered learning, multidisciplinary collaboration, and community engagement, preparing graduates for leadership roles in engineering and research. Faculty are doing transformative research in key areas of impact, including AI & machine learning, Industry 4.0 and smart manufacturing, renewable energy, semiconductors, technology enhanced infrastructure, transportation, and water resources, among others.

The school has excellent laboratory facilities and centers that foster collaboration and innovation:

+ Infrastructure Research Laboratory ( IRL ): A $15M state-of-the-art facility for large-scale geo-structural and material testing.

+ Ingram Makerspace: A hands-on innovation hub equipped with 3D printers, CNC machines, laser cutters, and electronics workstations for advanced prototyping and entrepreneurial initiatives.

+ USDOT Tier I University Transportation Center ( CREATE ) (https://create.engineering.txst.edu/) : Focused on coastal infrastructure durability and resilience, including water resources and extreme events.

+ NSF CREST Phase I Center for Ultrawide Bandgap Semiconductor Device Materials: Advancing semiconductor technologies for next-generation applications.

+ Access touniversity-level centers and shared research operations (https://www.research.txst.edu/institutes-centers.html) , including theMeadows Center for Water and the Environment (https://www.meadowscenter.txst.edu/) and theCenter for Analytics and Data Science ( CADS ) (https://cads.txst.edu/) .

Texas State University is strategically located in San Marcos, Texas, in the heart of the Austin–San Antonio corridor, one of the fastest-growing and most dynamic regions in the United States. This prime location provides unparalleled access to a thriving technology and innovation ecosystem in Austin, home to major tech companies, startups, and research hubs, as well as strong connections to San Antonio’s industrial, manufacturing, and defense sectors. Faculty and students benefit from proximity to industry leaders, enabling collaborative research, internships, and partnerships that drive innovation and economic impact.

To assure full consideration, applications must be submitted byJanuary 15, 2026.

Required Qualifications

At the Assistant Professor Level:

+ An earned doctorate in civil engineering, electrical engineering, industrial engineering, mechanical engineering, manufacturing engineering, or a closely related discipline.

+ Evidence of or potential to obtain eternal funding and/or corporate gifts.

+ Evidence of or potential for research excellence in one or more of the research areas mentioned above.

+ Evidence of or potential for excellence in teaching both graduate and undergraduate courses in ABET Accredited engineering programs, including lectures and laboratories.

+ A history of or potential for advising student projects.

+ Demonstrated excellence in written and oral communication.

At the Associate Professor Level:

+ An earned doctorate in civil engineering, electrical engineering, industrial engineering, mechanical engineering, manufacturing engineering, or a closely related discipline.

+ Evidence of having obtained eternal funding and/or corporate gifts.

+ Evidence of research excellence in one or more of the research areas mentioned above.

+ Evidence of excellence in teaching both graduate and undergraduate courses in ABET Accredited engineering programs, including lectures and laboratories.

+ A history of advising student projects at both the undergraduate and graduate levels.

At the Professor Level:

+ An earned doctorate in civil engineering, electrical engineering, industrial engineering, mechanical engineering, manufacturing engineering, or a closely related discipline.

+ Evidence of an established and current funding record of obtaining eternal funding and/or corporate gifts.

+ Evidence of a nationally and internationally recognized research agenda and a publication record with contributions in one or more of the research areas mentioned above.

+ Evidence of excellence in teaching both graduate and undergraduate courses in ABET Accredited engineering programs, including lectures and laboratories.

+ A history of advising student projects at both the undergraduate and graduate levels.

+ Evidence of an established reputation, leadership and service at the national and international levels.

Preferred Qualifications

At the Assistant Professor Level:

+ Evidence of or potential for interdisciplinary research collaboration.

+ Industrial, or post-doctoral experience (in an area of expertise that complements those of the department faculty).

At the Associate Professor Level/Professor:

+ Evidence of interdisciplinary research collaboration.

+ Knowledge of ABET accreditation procedures and related deliverables.

+ Evidence of establishing partnerships with national labs and government agencies.

+ Evidence of submitting invention disclosures, obtaining patents, and managing intellectual property.

Application Procedures

Only applications submitted through the Texas State University website will be accepted and considered,https://jobs.hr.txstate.edu/postings/55413.

To assure full consideration, applications must be submitted byJanuary 15, 2026.

The following documentation must be included in the application.

+ Cover letter.

+ Curriculum vitae including:

+ All academic background.

+ List of post-doctoral and/or professional employment.

+ List of published and/or submitted peer-reviewed articles.

+ List of authored, funded research proposals, with funding amount and funding agency.

+ List of courses taught, indicating lapses of time and if as Instructor of Record or under another role.

+ Statements of research interests.

+ Statements of teaching interests.

+ Unofficial transcripts (all in one document).

The selected candidate will be required to provide official transcripts from all degree-granting universities.

Proposed Start DateFall 2026

Posting Date12/08/2025

Review Date01/15/2026

Close Date

Open Until Filled?Yes

Legal Notices

Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.

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.

This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.

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 fromTalent Acquisition (https://www.hr.txst.edu/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

In accordance with federal law, all new employees must complete the Form I-9 and provideacceptable documentationverifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.

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.

Quick Linkhttps://jobs.hr.txstate.edu/postings/55413

Applicant Documents