University of Florida

Faculty Positions in Artificial Intelligence
Herbert Wertheim College of Engineering
University of Florida
The Herbert Wertheim College of Engineering (HWCOE) at the University of Florida (UF) invites applications for four full-time, nine-month tenure-track faculty positions at the rank of Assistant Professor. Candidates are sought whose research focuses on Artificial Intelligence (AI) and who are interested in collaborative research with the Center for Coastal Solutions (CCS), housed within the HWCOE. The four positions will reside within three engineering departments: the Department of Electrical & Computer Engineering (ECE), the Department of Computer & Information Sciences & Engineering (CISE), and the Department of Mechanical & Aerospace Engineering (MAE). The four positions are:

            • Signal, Image, and Video Processing (ECE requisition #69558): research focuses on AI in Signal, Image, and/or Video (SIV) processing. Position posted here:

            • AI Graph Technology (CISE requisition #69395): research focuses on the development of AI methods for graphs and graph-based data. Position posted here:

            • Reinforcement Learning (MAE requisition #69390): research focus includes reinforcement learning in general. Candidates interested in collaborative research with the Center for Coastal Solutions are especially encouraged to apply. Position posted here:

            • Underwater Robotics (MAE requisition # 69419): research focus includes robotics and autonomous systems, with particular expertise in underwater robotics. Position posted here:

The four positions are linked to a new initiative with the Center for Coastal Solutions. Candidates eager to engage in research focused on a wide range of challenges facing our coastal communities and ecosystems are encouraged to apply—past experience in this domain space is not required. Particular consideration will be given to researchers able to develop and apply innovative approaches to improving monitoring and modeling of coastal hazards (e.g. sea level rise, pathogen outbreaks, harmful algae blooms, invasive species) and their impacts on coastal environments, economies and public health. See the link for each posting for more detailed information.

The University of Florida is the flagship campus of the State of Florida university system and is ranked as the #6 best public US university according to US News and World Report. UF recently announced a $70 million AI partnership with NVIDIA to create an AI-centric data center that houses the world’s fastest AI supercomputer in higher education. Of particular relevance to these new faculty positions, the HWCOE is in the process of creating the programmatic backbone to UF’s efforts to change the future of education and workforce development through university-wide AI training and experiential learning efforts.

The ECE Department in the HWCOE is a vibrant, multidisciplinary, and highly collaborative environment. The Department’s external research expenditures are at a record high, $21M last year using the ASEE definition. The ECE graduate program ranks #17 among public ECE departments (#27 overall) according to U.S. News and World Report. The department leads several university-wide multidisciplinary institutes related to AI including the NSF Center for Big Learning, the Warren B. Nelms Institute for the Connected World, and the Florida Institute for CyberSecurity (FICS) Research.

The successful candidate is expected to have a doctoral degree in a relevant engineering field at the time of hire. Full application instructions are available at the links for each position. The search committee will begin reviewing applications immediately and will continue to receive applications until the positions are filled. The anticipated start for the positions is Fall 2021 with some flexibility for a later start based on individual needs.

The University of Florida is committed to nondiscrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information, and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.

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