Open Rank - General Faculty in Computer Science and Data Science
Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2020-10-27
The School of Data Science and the Department of Computer Science at the University of Virginia have exciting joint positions for one or more Academic General Faculty (teaching-track) positions to begin in Spring, Summer, or Fall of 2021. We seek applicants who share our interest and enthusiasm for excellence in Data Science to join the Computer Science Department and the School of Data Science at the University of Virginia.
The School of Data Science – UVA’s 12th school and the first established since 2007 – will position the University as a global leader in efforts to improve society through teaching and research based on the powerful, emerging field of Data Science. UVA has offered a Master of Science in Data Science since 2013, and the new School of Data Science will offer doctoral, masters and undergraduate degree programs, helping to meet soaring demand for qualified Data Science professionals in a field that plays a key role in the global information-based economy.
The UVA Department of Computer Science is a nationally recognized leader in Computer Science research and education in one of the nation’s oldest and most respected engineering schools. The Department includes 57 faculty, including 17 teaching-track Academic General Faculty, who are active in fundamental Computer Science and engineering education and research, and are actively engaged in interdisciplinary initiatives with educators, scientists, humanists, engineers in other disciplines, and medical personnel.
Candidates for the Academic General Faculty (teaching-track) positions at the rank of Assistant, Associate or full Professor must have completed a PhD in Computer Science, Computer Engineering, Data Science or a related discipline by the time they join the UVA faculty. The School of Data Science and the Computer Science Department are committed to recruiting faculty at all levels who possess a diversity of life experiences. We especially encourage applications from individuals who are members of underrepresented groups and who have worked to support the broadening of student access to Data Science and/or Computer Science careers. We are committed to creating and benefiting from an environment where a diverse group of capable, inspired individuals interact and collaborate to learn and advance knowledge without barriers.
Candidates are expected to develop and teach potentially both residential and online courses primarily for the Master of Science in Data Science program, and to teach courses at the undergraduate or graduate level in residential programs for the Computer Science Department and School of Data Science. Candidates with strong backgrounds in areas supporting computing topics such as data mining, machine learning, computer vision, databases, and cloud computing are encouraged to apply.
Successful candidates will have service responsibilities, and scholarship in data science and/or education is expected for promotion. The School and the Department strongly value scholarship activities by General Faculty that have potential to advance computing education.
These positions will have renewable three-year contracts. University policies ensure that these positions benefit from opportunities for professional development, and there is a well-defined promotion path for these positions. General Faculty receive support for their teaching and scholarship activities.
The University of Virginia is annually ranked as one of the premier public institutions in the United States and is located in Charlottesville, a picturesque and vibrant small city perennially ranked as one of the best places to live in the U.S. More information about town, the school, faculty benefits and other topics can be found at http://uvacharge.virginia.edu/guide.html.
UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit https://dualcareer.virginia.edu/.
With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the Department and the University of Virginia are fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.
Please apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach the following documents:
a CV a statement of teaching philosophy and experience; a research statement; contact information for three (3) references; a cover letter that addresses your experience working with diverse populations; and your values related to diversity, equity, and inclusion.
Review of candidates will begin on November 27, 2020 and will continue until positions are filled.
For questions regarding the positions, please contact Nada Basit, Search Committee Chair, at firstname.lastname@example.org.
For questions about the application process, please contact Rich Haverstrom, Faculty Search Advisor, at email@example.com.
The University will perform background checks on all new hires prior to employment. This position will also require an Education Verification (FSAKA).
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s 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 (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.