Assistant Professor- Advanced Computational Geotechnics- Fall 2027

University of Texas at Austin; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

The University of Texas at Austin invites applications for a tenure-track assistant professor position in geotechnical engineering with expertise in advanced computational geotechnics. The candidate will develop an externally funded research program, mentor graduate students, and contribute to undergraduate and graduate education.

Research areas of interest include computational methods, multi-physics modeling, digital twins, data-enabled geomechanics, and resilient infrastructure systems.

Qualifications

• PhD in engineering or related field required.
• Experience designing and teaching undergraduate and graduate courses.
• Ability to secure external funding and mentor graduate students.

Responsibilities

• Develop undergraduate and graduate learning environments.
• Establish externally funded research programs.
• Mentor graduate students.
• Collaborate with other faculty.
• Contribute to department and professional service.

Skills

Mentor graduate students

Collaborate with faculty

External research funding

Curriculum development

Education

PhD in engineering or related field

Job description

Assistant Professor- Advanced Computational Geotechnics- Fall2027

College/School/Unit: Cockrell School of Engineering

Department: Civil, Architectural & EnvironmentalEngineering

Posted: Oct 8, 2026

Apply By: Open until filled

Description

The Maseeh Department of Civil, Architectural, and EnvironmentalEngineering (CAEE) at The University of Texas at Austin invitesapplications for a tenure-track assistant professor position ingeotechnical engineering with expertise in advanced computationalgeotechnics. The candidate's research should address innovativecomputational methods for analyzing, modeling, and predicting thebehavior of geotechnical systems across multiple spatial andtemporal scales. Specific research areas of interest may include:advanced computational methods, constitutive and multi-physicsmodeling, digital twins and predictive simulation, data-enabledcomputational geomechanics, subsurface data interpretation andmodeling, and computational modeling of resilient infrastructuresystems.

We are committed to supporting the success of all members of ourcommunity: students, staff, and faculty. A successful candidate canexpect to benefit from and contribute to those efforts.

Qualifications

Candidates must have a PhD in engineering or a related area. Thesuccessful candidate will be expected to create undergraduate andgraduate learning environments that address the needs of studentsfrom a variety of backgrounds with differing learning styles andabilities. Further, the successful applicant will be expected todevelop an externally sponsored research program, mentor graduatestudents, collaborate with other faculty, and serve the universityand profession.

Equal Employment Opportunity Statement

The University of Texas at Austin, as an equalopportunity/affirmative action employer, complies with allapplicable federal and state laws regarding nondiscrimination andaffirmative action. The University is committed to a policy ofequal opportunity for all persons and does not discriminate on thebasis of race, color, national origin, age, marital status, sex,sexual orientation, gender identity, gender expression, disability,religion, or veteran status in employment, educational programs andactivities, and admissions.