Previous JobJob TitleAssociate and Full Professor in the Knight Foundation School of Computer and Information Sciences Next JobApply for JobJob Opening ID536305 LocationModesto A. Maidique Campus Full/Part TimeFull-Time Review Date12/05/2025 Regular/TemporaryRegular Add to My Favorite Jobs About FIU Florida International University is a Top 50, preeminent public research university with 55,000 students from all 50
states and more than 140 countries, as well as an alumni network of more than 340,000. Located in the global city of Miami, the university offers more than 200 degree programs at the undergraduate, graduate and professional levels, including medicine and law. FIU faculty are leaders in their fields and include National Academy members, Fulbright Scholars and MacArthur Genius Fellows. A Carnegie R1 institution, FIU
drives impactful research in environmental resilience, health and technology and innovation. Home to the Wall of Wind and Institute of Environment, FIU stands at the forefront of discovery and innovation. With a focus on student success, economic mobility and community engagement, FIU is redefining what it means to be a public research university. Job Information Associate and Full Professor in the Knight Foundation
School of Computer and Information SciencesThe Knight Foundation School of Computing and Information Sciences (KFSCIS) at Florida International University (FIU) in Miami, Florida, invites applications for tenured faculty positions at the Associate and Professor levels. We welcome candidates who currently hold tenure or anticipate receiving tenure within the next year. KFSCIS seeks exceptional scholars in all areas of
Computer Science, with particular emphasis on Artificial Intelligence, Cybersecurity, Health/Biomedical Informatics, Robotics, and Systems. This year¿s search also includes cluster hires with FIU¿s Extreme Events Institute (EEI) and International Hurricane Research Center (IHRC) for faculty specializing in risk modeling and mitigation, coastal resilience, and disaster risk reduction. Candidates whose research
integrates AI/ML, computational modeling, robotics, or computing systems to address complex real-world challenges¿such as ML-driven risk analysis, digital twin technologies, and infrastructure resilience¿are especially encouraged to apply. Applicants with experience in two or more of these overlapping areas, or in interdisciplinary fields, are highly encouraged to apply. A doctorate in Computer Science or a related
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