Assistant Professor- Engineering for the Extreme - Fall 2027

Ymfphilly; Austin (TX); Presencial; USD 95.000 - 120.000; Jornada completa

Descripción de la vacante

The University of Texas at Austin invites applications for a tenure-track assistant professor position in Engineering for the Extreme. The successful candidate will address design for extreme settings, resilience to extreme events, and advanced computational modeling with AI- and physics-informed approaches.

The Maseeh Department of Civil, Architectural, and Environmental Engineering (CAEE) seeks candidates who will develop a strong externally funded research program, mentor students, and

Formación

• PhD in engineering or related area is required.
• Ability to design undergraduate and graduate learning environments for diverse students.
• Plan and manage externally funded research programs and collaborations.

Responsabilidades

• Create inclusive undergrad/grad learning environments for diverse students.
• Develop an externally funded research program and mentor students.
• Collaborate with other faculty and contribute to university and profession.

Conocimientos

Mentor graduate students

Collaborate with faculty

Student learning environments

Educación

PhD in engineering or related area

Herramientas

High-performance computing

AI / physics-informed modeling

Descripción del empleo

The University of Texas at Austin: Cockrell School of Engineering: Civil, Architectural & Environmental Engineering

Location: Austin, TX

Open Date:Oct 08, 2026

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 Engineering for the Extreme.

We are interested in candidates whose research addresses the multitude of challenges in engineering for the extreme, at both the system and material levels, including: (a) design for extreme terrestrial (subsea, underground, polar, desert) or extraterrestrial (lunar, Martian, orbital) settings; (b) design strategies to enhance resilience to extreme natural (e.g., atmospheric) or anthropogenic events (e.g., wildfires); and/or (c) design for extreme or uncommon stressors (e.g., radiation, intense thermal cycling, extreme pressures, micrometeorite impacts). Candidates leveraging AI and physics-informed computational modeling in novel ways for engineering for the extreme are strongly encouraged to apply. The successful candidate will have access to various experimental and high-performance computing facilities.

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.

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.