"Tenure-track faculty positions, Electrical and Computer Engineering"

The Department of Electrical and Computer Engineering (ECE) at Rutgers University–New Brunswick invites applications for tenure-track positions in 1) RF/Antenna systems and wireless sensors; 2) Security, especially in information security and AI/machine learning security; 3) AI for domain applications, especially next-generation networking, healthcare, and embodied AI; 4) Quantum communication and sensing.

The Department seeks to fill multiple openings in Fall 2026 for full-time, academic-year, tenure-track faculty appointments. Possible ranks include Assistant, Associate, or Full Professor. We invite applications from candidates engaged in cutting-edge research across the breadth of electrical and computer engineering. Evaluation will emphasize the creativity, originality, and potential impact of the candidate’s scholarly work. We especially welcome applicants in the research areas listed above. Successful candidates will be expected to teach courses in electrical and computer engineering at both the undergraduate and graduate levels; develop a research program, and secure external funding to support it; work in a highly collaborative, interdisciplinary environment; and engage in existing and future large-scale collaborative research endeavors.

Evaluation will emphasize the creativity, originality, and potential impact of the candidate’s scholarly work. Candidates should hold a PhD in Electrical and Computer Engineering or a related field. Candidates with the ability to conduct independent research, as evidenced by a strong record of scholarly publications, are encouraged to apply. For more senior positions, we seek exceptional candidates with proven track records of publishing impactful work and generating significant external funding.

About the Department of Electrical and Computer Engineering

ECE at Rutgers is home to world-class research programs in wireless networking, information theory, signal processing, machine learning, high-performance computing, computer vision, socially cognizant robotics, cyber-physical systems, nano/bio electronics, and cybersecurity and privacy. Faculty honors include membership in the National Academies, 13 IEEE Fellows, 1 AAAS Fellow, 1 NAI Fellow, 1 ACM Fellow, 16 NSF Career Awards, 2 DARPA Young Faculty Awards, 1 ONR Young Investigator Award, and 1 ARO Young Investigator Award.

Excellent facilities are available for collaborative research with local industry through the School’s nationally recognized centers, including the Wireless Information Network Laboratory (WINLAB), the Micro-nanofabrication and Characterization Facility, the Center for Advanced Infrastructure and Transportation (CAIT), and the Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory. There are also opportunities for collaboration with clinicians at Rutgers Biomedical and Health Sciences (RBHS). Despite a challenging funding environment marked by significant budget constraints, our department has demonstrated remarkable success and resilience in securing competitive research grants.