The University of Virginia
Open Rank Professor of Data Science, Academic General Faculty, Teaching Track
The University of Virginia, Charlottesville, Virginia, United States, 22904
University of Virginia: UVA Provost's Office: School of Data Science
Location
Open Date
Oct 22, 2024Description
The School of Data Science at the University of Virginia (UVA) is assembling a diverse and world-class 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 (in-person and online), conduct educational scholarship, engage in grant-driven 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 long-term 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., 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 AIHealth 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, data-driven educational strategies, data-centric teaching methods)When applying, candidates should detail their instructional experience, preferred teaching domain, and scholarly interests and/or research activity.Qualifications
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 University's mission is essential for all candidates ( University Mission Statement ).Rank will be commensurate with academic and industry experience. Appointments are available on 9-month contracts.Application Instructions
Complete an application online and attach: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 scholarly pursuits statement that describes your data science expertise, educational scholarship (if any), engagement in traditional research activities (if any), and future scholarly goals (1-3 pages). 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, 2024
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
sdsfacultyaffairs@virginia.edu . The selected candidate will be required to complete a background check at time of offer per University Policy.Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit
dualcareer.virginia.edu .
#J-18808-Ljbffr
Location
Open Date
Oct 22, 2024Description
The School of Data Science at the University of Virginia (UVA) is assembling a diverse and world-class 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 (in-person and online), conduct educational scholarship, engage in grant-driven 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 long-term 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., 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 AIHealth 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, data-driven educational strategies, data-centric teaching methods)When applying, candidates should detail their instructional experience, preferred teaching domain, and scholarly interests and/or research activity.Qualifications
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 University's mission is essential for all candidates ( University Mission Statement ).Rank will be commensurate with academic and industry experience. Appointments are available on 9-month contracts.Application Instructions
Complete an application online and attach: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 scholarly pursuits statement that describes your data science expertise, educational scholarship (if any), engagement in traditional research activities (if any), and future scholarly goals (1-3 pages). 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, 2024
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
sdsfacultyaffairs@virginia.edu . The selected candidate will be required to complete a background check at time of offer per University Policy.Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit
dualcareer.virginia.edu .
#J-18808-Ljbffr