Assistant Professor in Electrical and Computer Engineering, Fall 2021

University of Texas at Austin
Texas, United States
Salary Not specified
Mar 01, 2021
Employment Level
Tenured/Tenured Track
Employment Type
Full Time

Assistant Professor in Electrical and Computer Engineering, Fall 2021

College/School/Unit: Cockrell School of Engineering
Department: Electrical & Computer Engineering
Posted: Oct 23, 2020
Apply By: Open until filled


The Department of Electrical and Computer Engineering at The University of Texas Austin has multiple faculty openings with a start date of Fall 2021. For assistant professor positions, candidates in all areas of electrical and computer engineering will be considered, especially at the intersection of systems and AI/machine learning including but not limited to vertical system integration, machine learning systems, and robotics. Open rank tenure-track/tenured candidates will be considered for a cluster hire in biomedical imaging only.

The Department and the Cockrell School of Engineering are committed to building a diverse and inclusive environment. We are particularly interested in candidates who will contribute to diversity, inclusion, and equity in higher education through their teaching, research, and service. The Department of Electrical and Computer Engineering at University of Texas at Austin is also committed to addressing the family needs of faculty, including dual-career couples and single parents.


Applicants should have received or expect to receive a doctoral degree in electrical engineering, computer engineering, computer science or a related discipline prior to September 2021. Successful candidates are expected to mentor graduate students, teach our diverse undergraduate and graduate student populations, develop a sponsored research program, collaborate with other faculty from a wide range of backgrounds, and be involved in service to the university and profession. Senior candidates for biomedical imaging should have an internationally recognized record of research and scholarship and possess the qualities necessary for academic leadership.

Application Instructions

Except for biomedical imaging, applications must be submitted electronically via UT Austin Interfolio. We will begin evaluation of applications immediately and will continue throughout the academic year until positions are filled. Earlier submission by November 30, 2020 is strongly encouraged.

Interested applicants should submit a cover letter, current curriculum vitae, statement of research and teaching philosophy, and a statement describing their commitment to promoting diversity and inclusion through their research, teaching, and/or service. For tenure-track positions, at least three references who will submit original letters of reference should be included. For tenured positions, a minimum of five references should be included.

For robotics, please also send your cover letter and CV to along with an indication that you have applied to the ECE department. This will ensure that your application is connected to the university-wide robotics search.

For the biomedical imaging area, please apply here.

The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the U.S. A security sensitive background check will be conducted on the applicant selected. The University of Texas at Austin is an Equal Opportunity/Affirmative Action Employer.

Apply Here

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.

To apply, visit


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