Assistant Professor of Electrical and Computer Engineering

Rice University; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Rice University’s Department of Electrical and Computer Engineering in Houston, TX invites applications for a tenure-track Assistant Professor position in AI and Computing Systems with an anticipated start date July 1, 2027. We seek candidates who broaden AI through foundations, algorithms, and engineered systems, including sensing, communication, and inference.

The successful candidate will teach undergraduate and graduate courses, pursue a strong research program with external funding, and

Qualifications

• PhD required in electrical and computer engineering, computer science, or related field.
• Excellence in scholarship, teaching, and collegial service expected.
• Strong commitment to fostering diversity and inclusive excellence.

Responsibilities

• Teach undergraduate and graduate courses within expertise.
• Develop and lead a robust research program with external funding.
• Collaborate across disciplines and contribute to AI and computing systems initiatives.

Skills

PhD in Electrical and Computer Eng/CS

Education

PhD in Electrical and Computer Engineering, CS or related field

Job description

Assistant Professor of Electrical and ComputerEngineering

Tenure-Track Faculty Opening in AI and Computing Systems at RiceUniversity

https://eceweb.rice.edu/

https://engineering.rice.edu/

Position Description

The Department of Electrical and Computer Engineering at RiceUniversity, located in Houston, TX, seeks applications for onetenure-track Assistant Professor position in AI and ComputingSystems with an anticipated start date of July 1, 2027. Thisfaculty position is part of the university's AI cluster facultyhiring initiative, which is organized around Foundational AI, AIfor Applications, and Responsible AI.

We interpret AI and Computing Systems broadly. The area spans thetheory, algorithms, and models of AI; the engineered systems thatsense, communicate, and act using AI; and the computing systemsthat make AI possible. Specific areas of interest include, but arenot limited to:

• Foundations of AI, including learning theory, optimizationalgorithms, statistical and probabilistic methods, generativemodels, and reinforcement learning.
• AI algorithms and models, including efficient and compactmodels, foundation models, graph and geometric learning,physics-informed and scientific machine learning, federated anddistributed learning, and robust, trustworthy, andprivacy-preserving AI.
• AI-enabled engineered systems, including sensing systems suchas computational sensing and imaging, inverse problems, andneuromorphic and edge sensing; communication systems such asAI-native wireless, next-generation networks, and learnedcommunication systems; and action systems such as robotics,autonomous systems, learning-based control, embodied AI, andcyber-physical systems.
• Computing systems for AI, including hardware accelerators andhardware-software co-design; energy-efficient computing; in-memory,analog, and neuromorphic computing; distributed, cloud, anddisaggregated systems for training and inference; compilers andruntimes; embedded and edge AI; secure and privacy-preservingsystems; and AI for the design and optimization of computingsystems.

These areas should not be considered limiting, and any candidatewhose work advances AI and computing systems, broadly defined, isencouraged to apply. The successful candidate will develop thetools, frameworks, and theoretical understanding that colleaguesacross the university and the world will deploy in theirresearch.

The selected candidate will be expected to teach and developundergraduate and graduate courses within their expertise; performhigh-quality research in their specialized area and presentfindings from their research in peer-reviewed publications andconferences; establish a strong research program supported byextramural funding; be involved in service to the university andbroader scientific community; and collaborate with faculty indiverse disciplines. The successful candidate will be required tohave a strong commitment to teaching, advising, and mentoringundergraduate and graduate students from diverse backgrounds.

We welcome the fullness of diversity to Rice. Qualifiedapplicants are considered without regard to race, color, religion,age, sex, sexual orientation, gender identity, national or ethnicorigin, genetic information, disability, or protected veteranstatus. Also, in our candidate pools, we seek to attract greaterrepresentation ofwomen,scholars of color, people withdisabilities,veterans, and others whohave historicallybeenunderrepresented in electrical and computer engineering;attract students from a wide range of countries and backgrounds;accelerateprogress in buildinga faculty and staff varied inbackground and thought;and maintain an environment that fostersinteraction and understanding withinourcommunity.

About the School of Engineering and Computing

Rice University's George R. Brown School of Engineering andComputing is a top-ranked program that empowers the next generationof leaders with strong technical and communication skills, creativeproblem solving and the ability to work in multidisciplinaryteams.

About Rice University

Rice University is a private, comprehensive research universitylocated in the heart of Houston’s dynamic Museum District andadjacent to the Texas Medical Center. It offers undergraduate andgraduate degrees across eight schools and has a student body ofapproximately 4,000 undergraduate and 3,000 graduate students. Riceconsistently ranks among the top 20 national universities and thetop 10 in undergraduate teaching (US News & World Report); itsendowment ranks among the top 20 of US universities.

All candidates must have earned a Ph.D. degree in electrical andcomputer engineering, computer science, or a related fieldconferred by the year employment commences and professionalexperience consistent with the position rank. All applicants shoulddemonstrate excellence in scholarship, teaching, and collegialservice.

Rice University

Rice University is an Equal Opportunity Employer withcommitment to diversity at all levels, and considers for employmentqualified applicants without regard to race, color, religion, age,sex, sexual orientation, gender identity, national or ethnicorigin, genetic information, disability or protected veteranstatus.

Rice Mission and Values

Mission and Values | Rice University