Research Assistant Professor - Electrical & Computer Engineering
Main Campus (Gainesville, FL)
19050000 - EG-ELECTRICAL / COMPUTER ENG
RES AST PROF
The Herbert Wertheim College of Engineering at the University of Florida invites applications for a full-time, time-limited, non-tenure track, 12-month faculty position at the rank of Research Assistant Professor in the Department of Electrical & Computer Engineering with the Florida Institute for National Security (FINS). Initial appointment will be for one year with annual re-appointment based on performance and available funding.
Duties will include, but not be limited to leading multiple research projects, including tasking, overseeing and co-mentoring project Research Assistants and PhD students with performing research objectives, preparing project deliverables, and meeting the annual goals of each assigned project. The candidate should have experience in synthesizing results into peer-reviewed manuscripts along with the other students, presenting such results at conferences and updating sponsors on the status of the project as required. The candidate is also expected to serve in a leadership role as a liaison between the FINS director, lab staff/ students/ research assistants, collaborators and/or research sponsors. The successful candidate is also expected to lead efforts in pursuing and establishing new sponsored research opportunities, developing innovative ideas for future proposals, identifying viable funding opportunities/collaborations, and preparing grant proposals.
UF is currently ranked as one of the top-5 best public universities, 5th
according to the 2021 U.S. News & World Report of Best Colleges. UF is home to Hipergator, which ranks 3rd
among university supercomputers in the nation. In addition, the Herbert Wertheim College of Engineering is currently implementing a major expansion of faculty and state-of-the-art research and education facilities with a focus on AI. The Malachowsky Hall for Data Science & Information Technology, a 260,000 sq feet facility that will serve as the hub for Artificial Intelligence, will open in Spring 2023. The College will reach 300 faculty members this year. For more information about our college initiatives, please visit http://eng.ufl.edu
. The University and College count among its greatest strengths a value of broad diversity among faculty, students and staff and a robust, inclusive, and welcoming climate for learning and research. UF is committed to equal educational and employment opportunity and access and seeks individuals of all races, ethnicities, genders, and other attributes who, among their many exceptional qualifications, have a record of including a broad diversity of individuals in research and learning activities.
Salary to commensurate with education and experience.
PhD in Electrical Engineering or a related field.
Preferred qualifications: At least one year of post-doctoral work experience or some project management/teaching experience. Experience in applied machine learning research, especially in the areas of computer vision and natural language processing. This position will supervise research support staff across multiple projects. Initially, the candidate will be expected to apply their expertise in two major areas of research: hardware assurance of integrated circuits through reverse engineering by applying artificial intelligence and computer vision techniques, and computational behavior analysis for stylometric and psychometric profiling by applying natural language processing techniques. The candidate is expected to have excellent technical writing, communication skills and creativity demonstrated using a track record of academic research and/or scientific publications, grant proposals/white papers writing experience and patent applications. Prior experience working on federally funded projects and/or with intelligence or defense sponsors is preferred.
Special Instructions to Applicants:
The search committee will begin reviewing applications immediately and will continue to receive applications until the position is filled. You must apply by submitting an application through UFCareers via https://facultyjobs.hr.ufl.edu/
. (Job 527160) The application consists of attached PDF files of the following required documents: 1. Cover letter (summary and introduction; relate to hiring emphasis areas)
2. Curriculum vitae. 3. Names, addresses, phone numbers, and email addresses of three references. Additional documents should be uploaded as one PDF to the “other documents” selection in the application.
The anticipated start date for this position is August 21, 2023. For additional questions, contact Lesly Galiana at: email@example.com
The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES).
If accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.
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.
Health Assessment Required:
Open until filled
To apply, visit https://explore.jobs.ufl.edu/en-us/job/527160/research-assistant-professor-electrical-computer-engineering
The University is committed to non-discrimination 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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