Open Rank Professor of Data Science Academic General Faculty Teaching Track
Open Rank Professor of Data Science Academic General Faculty Teaching Track
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Job Description
The School of Data Science at the University of Virginia (UVA) is assembling a diverse and worldclass faculty with broad expertise in data science to foster and advance our Undergraduate Master and PhD programs. We are searching to fill multiple open rank professorships in data science on the Academic General Faculty Teaching Track. At the School of Data Science Academic General Faculty on the Teaching Track instruct classes (inperson and online) conduct educational scholarship engage in grantdriven research and advise and mentor students. Exceptional candidates will demonstrate experience with or the potential for sustained scholarship in data science education or a research specialty in an academic or industry setting. Academic General Faculty are afforded significant stability with longterm contracts support for professional development and leadership opportunities (e.g. all program directors are currently academic general faculty on the teaching track).
We seek candidates with an innovative spirit who have strong skills in data science pedagogy instruction and advising. Faculty will have the opportunity to help shape the culture of a new school develop modern pedagogy and grow the discipline of data science in national and international forums.
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. highperformance computing continuous integration and deployment (CI/CD) of data science tools cloud architectures federated learning data sharing
- Data Design (e.g. visualization humancomputer 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 security and 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 datadriven educational strategies datacentric teaching methods)
When applying candidates should detail their instructional experience preferred teaching domain and scholarly interests and/or research activity.
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 2025 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 Universitys mission is essential for all candidates will be commensurate with academic and industry experience. Appointments are available on 9month contracts.
Employment Type
Full Time
