Computer Science Teacher Jobs in Pflugerville, TX

Description
The Chandra Family Department of Electrical and Computer Engineering at The University of Texas Austin has multiple faculty openings with a start date of Fall 2026 for tenure-track faculty positions. Candidates in all areas of electrical and computer engineering will be considered, especially as they align with the strategic focus of the department in: (i) AI/ML, including generative AI foundations and applications ; (ii) AI for systems and systems for AI; (iii) Computer architecture, with a focus on heterogeneous computing systems; (iv) Signal processing, data science, communications and information theory; and (v) Software engineering, with a focus on AI-managed middleware, software generation and applications.
We are particularly interested in candidates who will contribute to supporting our student body through their teaching, research, and service. Successful candidates are also expected to contribute to and benefit from the department's mission and values: be the driving force for education enabling individual student success, scientific discovery, and technical innovation in the service of social good; and be bold, innovative, and collaborative in their aims and endeavors, while valuing, appreciating, and welcoming individuals of all backgrounds and worldviews. The Chandra Family Department of Electrical and Computer Engineering at the University of Texas at Austin is also committed to addressing the family needs of faculty, including dual-career couples, families with children, and single parents.
Qualifications
Applicants should have received or expect to receive a doctoral degree in electrical engineering, computer engineering, computer science, or a related discipline prior to August 2026. Successful candidates are expected to mentor graduate students, teach our undergraduate and graduate students, develop an externally sponsored research program, collaborate with other faculty in a wide range of fields, and be involved in service to the university and profession.
Application Instructions
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. Submission of applications by October 15, 2025, is strongly encouraged. Applications received after November 15, 2025 may not be given equal priority.
Interested applicants should submit a cover letter, current curriculum vitae, statement of research, statement of teaching philosophy, a statement describing their mentoring philosophy in both research and teaching, and two relevant publications. At least three references who will submit original letters of reference should be included.
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.
Suggestions for application statements
Research statement:
Describe your research contributions to date, and your short and long-term plans for your research program. An effective research statement will highlight your individual contributions and describe past and potential future collaborations with others, both within the department and UT, as well as outside the campus. Please also highlight the impact of your research and describe any potential applications that benefit society.
Teaching statement:
Describe your teaching experience to date, your teaching philosophy, and your plans for teaching. Please identify undergraduate and/or graduate courses that you could teach, indicating for each your experience with the material and your interest and approach to teaching it. An effective teaching statement will describe your pedagogical approach in the classroom and convey how your prior experiences shape your teaching plans.
Mentoring statement:
Describe your mentoring experience to date and your mentoring philosophy in both teaching and research. Our undergraduate student body is predominantly domestic and in-state, while our graduate student body is largely international. Please highlight your experience (possibly drawing from your personal experience as a mentee) with or interest in mentoring and advising a diverse student body and how you plan to support the success of each individual student while ensuring their professional development, educational growth, and the ethical conduct of research and scholarship.