Inside Higher Ed
Open Rank Professor of Data Science, Tenured or Tenure Track
Inside Higher Ed, Virginia, Minnesota, United States, 55792
Open Rank Professor of Data Science, Tenured or Tenure Track
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.
Teaching and Research Domains
Data Systems – high‑performance computing, CI/CD of data science tools, cloud architectures, federated learning, data sharing.
Data Design – visualization, human‑computer interaction, communication.
Data Ethics, Critical Data Studies & Policy – representativeness, privacy, ethics of algorithmic construction, interpretability.
Machine Learning and Analytics – predictive modeling, algorithm development, statistical methods, graph theory.
The school welcomes all areas of research and scholarship in data science.
Currently, the school is especially looking to grow in the following areas:
Generative AI, large language models, and trustworthy AI.
Health data science (neuroscience, biomedicine, genetics/genomics).
Data and Society/Democracy (ethics, social justice, impact of data on society).
Sports Data Science and human development (human movement, computer vision, analytics).
Data science in education (AI in the classroom, data‑driven educational strategies, data‑centric teaching methods).
Qualifications Candidates must have earned, or be on track to earn, a PhD in Data Science or a related field 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.
Candidate requirements vary by rank:
Assistant‑rank (tenure‑track):
Potential for excellence in methodological development and scientific impact in data science or a related field; prior experience in education‑related activities.
Associate or Full‑rank (tenured):
Demonstrated record of excellence in research, teaching, and advising in data science or closely related fields; established national/international reputation for contribution to the field in methodology, application, and impact.
Rank will be commensurate with academic and industry experience.
Appointments are on 9‑month contracts.
Application Instructions Complete an online application and include the following:
A current curriculum vitae or resume.
A cover letter addressing your experience and qualifications for this position and your interest in data science.
A research statement (1–3 pages) describing your past research endeavors, contributions, and future goals.
A teaching statement (1–3 pages) describing your teaching and mentoring experiences and how they align with UVA’s mission statement.
Three reference letters.
Optional: reviews and course evaluations from up to three educational courses, seminars, and/or short courses.
We will begin reviewing applications on or around
November 22, 2025
and the positions will remain open until filled.
Contact For questions about the application process, please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at sdsfacultyaffairs@virginia.edu.
#J-18808-Ljbffr
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.
Teaching and Research Domains
Data Systems – high‑performance computing, CI/CD of data science tools, cloud architectures, federated learning, data sharing.
Data Design – visualization, human‑computer interaction, communication.
Data Ethics, Critical Data Studies & Policy – representativeness, privacy, ethics of algorithmic construction, interpretability.
Machine Learning and Analytics – predictive modeling, algorithm development, statistical methods, graph theory.
The school welcomes all areas of research and scholarship in data science.
Currently, the school is especially looking to grow in the following areas:
Generative AI, large language models, and trustworthy AI.
Health data science (neuroscience, biomedicine, genetics/genomics).
Data and Society/Democracy (ethics, social justice, impact of data on society).
Sports Data Science and human development (human movement, computer vision, analytics).
Data science in education (AI in the classroom, data‑driven educational strategies, data‑centric teaching methods).
Qualifications Candidates must have earned, or be on track to earn, a PhD in Data Science or a related field 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.
Candidate requirements vary by rank:
Assistant‑rank (tenure‑track):
Potential for excellence in methodological development and scientific impact in data science or a related field; prior experience in education‑related activities.
Associate or Full‑rank (tenured):
Demonstrated record of excellence in research, teaching, and advising in data science or closely related fields; established national/international reputation for contribution to the field in methodology, application, and impact.
Rank will be commensurate with academic and industry experience.
Appointments are on 9‑month contracts.
Application Instructions Complete an online application and include the following:
A current curriculum vitae or resume.
A cover letter addressing your experience and qualifications for this position and your interest in data science.
A research statement (1–3 pages) describing your past research endeavors, contributions, and future goals.
A teaching statement (1–3 pages) describing your teaching and mentoring experiences and how they align with UVA’s mission statement.
Three reference letters.
Optional: reviews and course evaluations from up to three educational courses, seminars, and/or short courses.
We will begin reviewing applications on or around
November 22, 2025
and the positions will remain open until filled.
Contact For questions about the application process, please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at sdsfacultyaffairs@virginia.edu.
#J-18808-Ljbffr