🚀 Open Rank Professor of Data Science, Tenured or Tenure Track

Description

The School of Data Science at the University of Virginia (UVA) is assembling a world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs. We are searching to fill multiple open rank tenured or tenure-track professorships in data science . At the School of Data Science, tenured and tenure-track faculty develop internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students. We seek candidates with an innovative spirit who have strong skills in data science research, pedagogy, and advising. Faculty will have the unique opportunity to shape the culture and direction of both a new discipline and a new school.

Our curriculum is organized around the data science domains (listed below), and ideal applicants can teach in one or more of these domains.

• Data Systems (e.g., high-performance computing, continuous integration and deployment (CI/CD) of data science tools, cloud architectures, federated learning, data sharing)
• Data Design (e.g., visualization, human-computer interaction, communication)
• Data Ethics, Critical Data Studies & Policy (e.g., representativeness, privacy, ethics of algorithmic construction, interpretability)
• Machine Learning and Analytics (e.g., predictive modeling, algorithm development, statistical methods, graph theory)

The school is open to all areas of research and scholarship in data science. Presently, the school is especially looking to grow in the following areas.

Generative AI, large language models, and trustworthy AI Health data science (e.g., neuroscience, biomedicine, and genetics/genomics) Data and Society/Democracy (e.g., ethics, social justice, and the impact of data on society) Sports Data Science and human development (e.g., human movement, computer vision, and analytics) Data science in education (e.g., AI in the classroom, data-driven educational strategies, data-centric teaching methods) When applying, candidates should detail their research expertise and interests, their instructional experience, preferred teaching domain, and other scholarly interests.

Qualifiations

Candidates must have earned, or be on track to earn, a PhD in Data Science or a related field (e.g., STEM, social science, or humanities degree with a data science focus) by August 2026 or appointment start date . Candidates with backgrounds and experiences that are underrepresented in data science are especially encouraged to apply. A commitment to advancing the University's mission is essential for all candidates ( ).

Candidates for senior ranks (associate and full with tenure) must have a demonstrated record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Candidates for assistant rank (tenure-track) must demonstrate the potential for excellence in methodological development and scientific impact in data science or a related field and have prior experience in educational-related activities.

Rank will be commensurate with academic and industry experience. Appointments are available on 9-month contracts.

Application Instructions

Complete an online application and include the following:

• A Current Curriculum Vitae or Resume.
• A Cover Letter that addresses your experience and qualifications for this position and your interest in data science.
• A research statement that describes your past research endeavors and contributions, as well as your future research goals (1-3 pages).
• A teaching statement that describes your teaching and mentoring experiences, and how they align with the UVA's mission statement ( ). This statement should focus on your past or planned educational activities and how you see data science education evolving over the next decade (1-3 pages).
• Three reference letters.
• If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses.

Review of applicants will begin on or around November 22, 2025 and the positions will remain open until filled.

For questions about the application process please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at .