Qualifications
We seek an exceptional individual to lead a dynamic, internationally recognized research and teaching program at the intersection of geomechanics modeling, geosensing,
and machine learning/data analytics. The ideal candidate will have a background in civil and environmental engineering, geosciences, or geomatics, with a strong record of research excellence and scholarly publications in computational/theoretical modeling
and its application to remote sensing technologies. We especially encourage applications from individuals whose work addresses natural hazards (e.g., earthquakes, landslides), geothermal energy, or nationally significant areas such as critical mineral exploration
and recovery. PhD in related field.
Preference will be given to candidates who can: (1) Develop collaborative research programs integrating geomechanics and geosensing; (2) Contribute to graduate and undergraduate teaching in related areas; and (3) Apply artificial intelligence and machine learning
to large observational datasets in cross-cutting domains. The candidate will join a focused team of faculty members and research scientists that secures externally funded research grants and supports pedagogy within the multi-disciplinary graduate research
programs in the Cullen College of Engineering.
The appointment is anticipated at the assistant or associate professor level. The anticipated start date of this appointment is September 1, 2026. Applications received before December 1, 2025, will receive priority consideration; application review will continue
until the position is filled.
Salary and rank will be commensurate with experience.
The university is responsive to the needs of dual-career couples.