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

Position Title:

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

2026066

TTL

San Marcos

Ingram School of Engineering

The Ingram School of Engineering 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’s Run to R1 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.

• 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):
  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 to university‑level centers and shared research operations, including…