[Air-L] Call for Applications | Postdoctoral Research Associate in Data Science & Race, Place and Equity
Jess Reia
jhereia at gmail.com
Mon Feb 6 09:57:33 PST 2023
Hello everyone,
AoIR folks may be interested in this call for applications. Apologies for
cross-posting.
UVA School of Data Science
Call for Applications for Postdoctoral Research Associate in Data Science &
Race, Place and Equity
The School of Data Science at the University of Virginia invites
applications for a full-time, postdoctoral research associate, beginning
August 2023 or earlier. The associate will be among 30 funded by an
ambitious, University-wide Mellon Foundation Grant on Race, Place, and
Equity focused on developing an undergraduate curriculum and advancing
graduate and faculty research on the natural and cultural landscapes that
encode local and national histories. The grant builds on the University's
strengths in teaching about racial equity and democracy as well as on the
acute need for reckoning about race and place in Charlottesville, Albemarle
County, and the University. The position is appointed for two years,
contingent on a successful annual review. Candidates must have completed a
Ph.D., preferably in an arts, humanities, or social sciences field, prior
to starting the role.
In the context of this initiative, the School seeks candidates who have
expertise in digital humanities, critical data studies or an ethics-related
field with an emphasis on racial equity and urban spaces. The associate
would be part of the Urban Data Equity Lab in the School of Data Science.
Within this role, candidates may have expertise in analyzing or visualizing
spatial or archival data sets, including maps, archaeological remains,
legal records, oral histories, demographic data, municipal open data
portals, policy documents, and other sources that inform the connection
between race as experienced and race as constructed. Regarding available
data, there are opportunities to work with datasets that have been
collected by other local projects, including the former Virginia Center for
Digital History, which built an archive of photos, letters, and regional
censuses relating to racial segregation laws and focused on
Charlottesville. Methodologies that integrate macro levels of statistical
description with local and situated descriptions are of particular
interest. A focus on North America is preferred and transnational
comparative studies are encouraged. Broadly speaking, the candidate must
demonstrate potential for effective research in areas at the intersection
of race, place, and data justice.
Review of applications will begin on February 23, and applicants are
encouraged to apply by that date. The position will remain open until
filled. To apply, please see the list of required documents here:
https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Postdoctoral-Research-Associate-in-Data-Science-and-Race--Place--and-Equity_R0044586
For questions about the position, please contact Jess Reia (
reia at virginia.edu).
For questions about the application process, please contact Rhiannon O'Coin
(rmo2r at virginia.edu).
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.
///
Jess Reia, Ph.D. (they/them)
Assistant Professor of Data Science
University of Virginia
Elson Building, Room 189B
reia at virginia.edu | @jhereia <https://twitter.com/jhereia> |
https://datascience.virginia.edu/
More information about the Air-L
mailing list