Tenure Line Faculty in Water Resources

Open Rank Tenure Line Faculty in Water Resources

Position Title:

Open Rank Tenure Line Faculty in Water Resources

Job Posting Number: 2026068

TTL

Job Location:

San Marcos

Department:
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.

The Ingram School of Engineering seeks to strengthen its research portfolio in Water Resources, one of the university’s strategic research areas.

• Increase the research capabilities of the Ingram School of Engineering in Water Resources.
• 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:

• Hydrologic Engineering & Hydro-Environmental Processes – Surface water, groundwater, watershed hydrology, surface–subsurface interactions, reactive transport, water quality, and environmental and geophysical fluid mechanics.
• Hydraulic & Water Infrastructure Systems – Flow systems, hydraulic structures, sustainable infrastructures and urban system, stormwater and urban drainage, sediment transport, morphodynamics, and resilient/energy-efficient water infrastructure.
• Water Treatment & Circular Water Management – Water and wastewater treatment, smart-sensor-enabled monitoring, low-energy desalination, aquifer storage and recovery, precision/smart irrigation, and one-water sustainability strategies.
• Climate Extremes & Hydroclimatic Impacts – Floods, droughts, extreme weather, climate-driven water risks, AI augmented climate-resilient water systems, water-energy nexus, and coupled water–energy systems.
• Data-Driven & Technology-Enabled Water Engineering – Artificial Intelligence (AI) and Machine Learning (ML) modeling, remote sensing, smart sensing networks, advanced controls, and hybrid physics–data approaches for monitoring, forecasting, and engineering water systems.

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…