Assistant Professor- Advanced Computational Geotechnics- Fall 2027

University of Texas at Austin; United States; On-site; USD 105,000 - 150,000; Full time

Job summary

University of Texas at Austin's Cockrell School of Engineering invites applications for a tenure-track assistant professor position in geotechnical engineering with expertise in advanced computational geotechnics. The candidate will develop innovative computational methods across scales and build both undergraduate and graduate learning environments.

The department seeks applicants who will establish externally funded research programs, mentor graduate students, collaborate across faculty, and

Qualifications

• PhD in engineering or a related area required.
• Commitment to creating inclusive undergraduate and graduate learning environments.
• Able to develop externally sponsored research programs, mentor graduate students, collaborate with faculty and serve the university.

Responsibilities

• Create undergraduate and graduate learning environments for a diverse student body.
• Develop an externally funded research program and mentor graduate students.
• Collaborate with other faculty and contribute to university service.

Education

PhD in engineering or related area

Job description

Assistant Professor- Advanced Computational Geotechnics- Fall 2027

College/School/Unit: Cockrell School of Engineering

Department: Civil, Architectural & Environmental Engineering

Posted: Oct 8, 2026

Apply By: Open until filled

The Maseeh Department of Civil, Architectural, and Environmental Engineering (CAEE) at 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's research should address innovative computational methods for analyzing, modeling, and predicting the behavior of geotechnical systems across multiple spatial and temporal scales. Specific research areas of interest may include: advanced computational methods, constitutive and multi-physics modeling, digital twins and predictive simulation, data-enabled computational geomechanics, subsurface data interpretation and modeling, and computational modeling of resilient infrastructure systems.

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

Qualifications

• Candidates must have a PhD in engineering or a related area.
• The successful candidate will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds with differing learning styles and abilities.
• Further, the successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and serve the university and profession.

Please address questions to Prof. Charles J. Werth, CAEE Department Chair ([e-mail]).

Equal Employment Opportunity Statement

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