The Department of Electrical Engineering in the College of Engineering of the University of South Florida (USF) invites applications for faculty positions at the assistant and associate professor level. Highly qualified candidates from all areas of electrical and computer engineering are encouraged to apply; preferred areas include: Computer Architectures; AI and Neuromorphic Computing; Multicore Processors and Parallel Programming; Distributed Computing; Hardware software co-design; Reconfigurable and adaptive computing; Quantum Computing and Communications; Nanoelectronics and Semiconductors; System on a Chip; Hardware Security; Packaging and Heterogeneous Integration; Analog, Digital, Mixed-signal, CMOS/SiGe RFIC Design; Microwave/mm-wave Circuits; ; 6G and THz Systems; Power Amplifiers; III-VI MMIC; ac machines drives; power electronics; power system protection and communication. Priority consideration will be given to applications received by December 15, 2025.
The Department of Electrical Engineering at USF has 25 tenure-track/tenured faculty members and 3 professors of instruction hailing from some of the finest institutions in the country. Among these faculty we have NSF CAREER Award winners, Fellows of the IEEE, AAAS, AIMBE, and Distinguished University Professors. Many serve in national leadership roles in technical societies, such as the IEEE, and have industry experience to complement their academic backgrounds. This diversity in our faculty enriches the learning experiences of our students. The Department of Electrical Engineering offers B.S., M.S., and Ph.D. degrees and serves approximately 500 undergraduate students, 70 M.S., students and 70 Ph.D. students. Our faculty are active in research areas spanning machine learning applications in IoT, computer vision, wireless communications, nano/microfabrication, RF MEMS and IC’s, radar, wireless and microwave systems, renewable energy source integration and smart grid automation, cybersecurity, data analytics, systems and control theory, robotics, electronic materials for sensors and energy applications, and more. Substantial collaborations with CyberFlorida, the Institute of Applied Engineering, and Moffitt Cancer Center are part of the department’s growing research activities. Average research expenditures for the last five years are approx. $5.0 million per year.
An application package should include a cover letter, curriculum vitae, a research statement describing recent accomplishments and future plans, a teaching statement summarizing past teaching experience and describing teaching philosophy, and the names and contact information of at least three references (one of which must be the current immediate supervisor of the applicant). Applicants must electronically submit the application packet as one PDF file.
Minimum Qualifications:
Doctoral degree from an accredited institution or the highest degree appropriate in the field of specialization with a demonstrated record of achievement in teaching, academic research, and service. Must meet university criteria for appointment to the rank of Assistant/Associate Professor.
Preferred Qualifications:
Successful applicants are expected to conduct research and teach in areas across the electrical and computer engineering disciplines. Successful candidates must be committed to the academic success of students, broadening participation in engineering, and support collaborations with areas of excellence across the university and beyond. Qualified candidates should have demonstrated excellence in scholarly research and publications, the strong potential for sustaining an externally funded research program, and a strong commitment to teaching and mentoring undergraduate and graduate students. Candidates should have completed or be near completion of a Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field. Candidates for senior ranks at the Associate Professor level must have demonstrated exceptional capabilities in externally funded research, instruction, and mentoring of students.
Assistant Professor Job ID# 42120 (https://tinyurl.com/3df4f5en)
Associate Professor Job ID# 42123 (https://tinyurl.com/2hcyetdt)
