Professor (All Ranks) in Embodied AI and Learning-Enabled Autonomy

Arizona State University • Tempe, AZ

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About The Position

The Ira A. Fulton Schools of Engineering at Arizona State University (ASU), in the School of Electrical, Computer and Energy Engineering, seeks applicants for a tenure-track or tenured faculty position in embodied AI and learning-enabled autonomy for physical systems. The position focuses on AI systems that perceive, reason, learn, act, and adapt in the physical world through interactions with sensors, actuators, humans, and dynamic environments. Areas of interest include edge-computing architectures and systems for embodied AI, robot learning, learning-enabled control, multimodal perception, sensor fusion, simulation-to-real transfer, safe reinforcement learning, planning and decision-making under uncertainty, distributed autonomy, and human-autonomy interaction. Application domains may include robotics, autonomous vehicles, humanoids, aerial and space systems, medical and assistive technologies, smart manufacturing, infrastructure monitoring, and defense-relevant autonomous systems.

Faculty are expected to develop an internationally recognized and externally funded research program; use effective pedagogical practices in developing and delivering undergraduate and graduate courses; advise undergraduate and graduate student research and projects; and undertake service activities. The role also includes contributing to academic programs, transdisciplinary teaching and research, student success, entrepreneurship, and use-inspired research. Faculty may engage with ASU's robotics and autonomous systems community and opportunities through the Southwest Advanced Prototyping Hub, SHIELD USA project, and Materials-to-Fab Center.

The appointment may be at the assistant, associate, or full professor rank, commensurate with experience and accomplishments, and is scheduled to begin in August 2027.

Requirements

• Earned doctorate in electrical engineering, computer engineering, computer science, robotics, mechanical engineering, or a closely related discipline by the time of appointment.
• Evidence of research excellence appropriate to the candidate's rank.
• Evidence of teaching excellence appropriate to the candidate's rank.

Nice To Haves

• Demonstrated commitment to a collaborative, transdisciplinary approach to research and teaching.
• Record of acquiring external funding.
• Record of impactful publications in top-tier journals or conferences.
• Experience developing and deploying learning-enabled systems on physical platforms such as robots, vehicles, or other cyber-physical systems.
• Commitment to mentoring students and delivering courses in multiple technology-enhanced formats.
• Commitment to innovative pedagogy.
• Demonstrated appreciation for entrepreneurial activities.

Responsibilities

• Contribute to curriculum development.
• Deliver instruction in person and/or online.
• Supervise honors, master's, and doctoral students.
• Conduct research publishable in top-tier journals and/or conferences in the discipline.
• Develop grant proposals for external funding as a principal investigator or co-principal investigator.
• Participate in professional and internal service.
• Develop an internationally recognized and externally funded research program.
• Advise undergraduate and graduate student research and projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree