Description

The Walker Department of Mechanical Engineering at The University of Texas at Austin seeks applicants for multiple positions. Candidates with expertise in the following research areas are of the most interest to the Department. (Candidates should view these areas of emphasis in the broadest sense in determining whether they match their research skills and interests.)

NUCLEAR ENGINEERING, with an emphasis on nuclear materials or radiochemistry. Candidates should be able to demonstrate an ability to teach both nuclear engineering and materials science or mechanical engineering courses at the undergraduate level.

ROBOTICS & PHYSICAL AI,  with an emphasis on embodied autonomous and semi-autonomous systems that perceive, plan, and act under real-world physical constraints, including in close collaboration with humans, spanning: (a) novel actuator and sensor design, including soft and smart materials and metamaterials, and their integration into robotic systems; (b) physics-inspired machine learning for perception, planning, and control, together with the experimental data collection and simulation tools needed to support it, with a balanced approach to theory and experimental work; (c) applications in assistive and rehabilitation robotics that restore, augment, or support human motor, sensory, or cognitive function, including emerging brain-robot interfaces, and in intelligent automation for complex, unstructured industrial, service, or medical environments.

ADVANCED MANUFACTURING, with an emphasis on advancing additive manufacturing as a production technology for aerospace, defense, and other critical applications. Research may span the technologies needed to make additive manufacturing more intelligent, predictable, and certifiable, including machine-learning-enabled process control, in situ sensing and monitoring, data-driven and physics-based modeling, digital twins, materials-by-design, and integrated process-structure-property relationships. Of particular interest are candidates whose work can reduce the time and cost associated with process and part qualification by moving quality assurance from post-build inspection to predictive, in-process understanding and control. The successful candidate will strengthen UT Austin's leadership in production-focused additive manufacturing and advance the field toward reliable, autonomous processes.

Candidates at the rank of Assistant Professor are sought for the Nuclear and Robotics searches. In the Advanced Manufacturing search applications are welcomed at both the Assistant Professor and Tenured Associate/Full Professor ranks.

Application

Interested applicants should submit the following materials via apply.interfolio.com/193406 : (1) a cover letter, (2) curriculum vitae, (3) research statement, (4) teaching and mentoring statement, and (5) a list of references. Please see me.utexas.edu/people/faculty-jobs for additional information and guidance. Successful candidates will be required to complete an Employment Eligibility Verification form, a background check, and provide documents to verify identity and eligibility to work in the U.S.A.

The Walker Department of Mechanical Engineering is 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. More information about the Walker Department of Mechanical Engineering, including a summary of the Department’s Strategic Plan, may be found at www.me.utexas.edu.

Deadlines

For full consideration, applications should be received by November 8, 2026.

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.

Requirements

Candidates must have completed a Ph.D. degree in Engineering or a related field prior to their start date. Successful candidates will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds, with differing learning approaches and abilities, develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and the profession.