University of Virginia

Open Rank Tenure-line Faculty in Computer Science

University of Virginia  •  Charlottesville, VA (Onsite)  •  3 hours ago
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Job Description

The Department of Computer Science at the University of Virginia (UVA) invites applications for multiple tenured or tenure-track faculty positions at all ranks.

We seek outstanding researchers and educators who will contribute to the continued growth, excellence, and intellectual breadth of the Department. The Department has substantial research strengths spanning artificial intelligence and machine learning, computer systems, architecture, cyber-physical systems, human-centered computing, robotics and autonomous systems, security, privacy, and cryptography, software engineering and programming languages, and algorithms and theory. We are particularly interested in candidates who will enhance and connect with the university’s AI research initiatives in both foundational and applied AI research, but also welcome applications across the full spectrum of computer science, including foundational research, emerging areas of computing, interdisciplinary research, and work that creates connections across established fields.

The primary responsibilities for these tenured/tenure-track positions include developing an internationally recognized research program, teaching and mentoring, and service to the department, university, public, and professional community. The appointment rank will be commensurate with experience and qualifications.

Our department is proud of its strong culture of collaboration and collegiality and is committed to sustaining and strengthening it. Faculty collaborate extensively throughout the School of Engineering and Applied Science and with colleagues in UVA’s Schools of Data Science, Medicine, Nursing, Law, Public Policy, Business, Education, and Arts & Sciences. These connections foster opportunities for foundational and interdisciplinary research spanning computing, science, engineering, health, and society.

Computer Science plays a key role in several major interdisciplinary research efforts at UVA. The Department is a founding member of the Link Lab, a multidisciplinary research center bringing together researchers in computer science, electrical and computer engineering, mechanical and aerospace engineering, and systems engineering to advance cyber-physical systems, robotics, autonomous systems, and the Internet of Things. CS faculty are also deeply engaged with UVA’s Biocomplexity Institute, university-wide efforts in artificial intelligence and data science, and interdisciplinary initiatives spanning health, biotechnology, neuroscience, and digital technology and society.

UVA is making substantial investments in computing and artificial intelligence research, including state-of-the-art high-performance computing and GPU infrastructure for large-scale AI, machine learning, data analytics, and computational science, and university-wide AI initiatives for researchers at all stages. These investments complement a growing university-wide community working on both the foundations of AI and its applications across science, engineering, health, and society.

The Department offers Ph.D. and master’s degrees through the School of Engineering and Applied Science and bachelor’s degrees through both the School of Engineering and Applied Science and the College of Arts & Sciences. Computer Science also collaborates with the Department of Electrical and Computer Engineering to jointly administer UVA’s undergraduate and graduate Computer Engineering programs.

UVA is a highly selective undergraduate and graduate institution and one of the nation’s leading public universities. UVA is situated in the beautiful city of Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits and other topics can be found at https://hr.virginia.edu/careers-uva/why-uva.

In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning a tenure-track position at the University of Virginia. Detailed information and application instructions are available at https://engineering.virginia.edu/rising-scholars-postdoctoral-program

Qualifications

Candidates must have received a doctorate or equivalent in a computing field by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected.

Application Instructions

Applications should be submitted via Interfolio. Review of applications will begin on November 15, 2026. The application package must include:

  • a cover letter
  • a curriculum vitae
  • research statement
  • teaching philosophy statement
  • service statement
  • three representative research papers;

In addition, the names and contact information of at least three individuals that can serve as references should be provided.

The University will perform background checks on all new faculty hires prior to making a final offer of employment.

For questions about these positions, please contact Ferdinando Fioretto, Associate Professor, at fioretto@virginia.edu.

Equal Employment Opportunity Statement

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.

The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit dualcareer.virginia.edu

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