[Commlist] Call for Applications | Postdoctoral Research Associate in Data Science & Race, Place and Equity

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 
<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) <mailto:(reia /at/ virginia.edu)>).

For questions about the application process, please contact Rhiannon 
O'Coin ((rmo2r /at/ virginia.edu) <mailto:(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.

---------------
The COMMLIST
---------------
This mailing list is a free service offered by Nico Carpentier. Please use it responsibly and wisely.
--
To subscribe or unsubscribe, please visit http://commlist.org/
--
Before sending a posting request, please always read the guidelines at http://commlist.org/
--
To contact the mailing list manager:
Email: (nico.carpentier /at/ commlist.org)
URL: http://nicocarpentier.net
---------------