Data Extraction Programmer, Virginia
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Inserito il 01/06/2012
Data Extraction Programmer
Institute for Advanced Technology in the Humanities
University of Virginia
The Institute for Advanced Technology in the Humanities at the
University of Virginia (http://www.iath.virginia.edu) is seeking a Data
Extraction Programmer to design and implement methods for extracting
data from Encoded Archival Description (EAD) finding aids and MARC
archival descriptions and then assemble this data into Encoded Archival
Context-Corporate Body, Person, Families (EAC-CPF) descriptions. This
person will also write XSLT transformations to convert XML-encoded
authority descriptions and MARC bibliographic histories into EAC-CPF
descriptions. The position will include using trainable NLP/NER software
to identify and extract names from EAD-encoded finding aids, as well as
using XML technologies, regular expressions, relational databases, and
triple-store technologies to maintain data linkages and create access
and contextual paths.
A BS in computer science or information science, or one to four years of
equivalent experience is required. A MS in computer science or
information science is preferred. Experience with relational database
design and implementation (e.g., SQL and web-access programming);
general programming techniques (e.g., Java, JAVAScript, C++, Ruby, or
Python); XML technologies, in particular XSLT 2.0 and XPath 2.0 is
preferred.
This is a two-year grant-funded appointment, with a possible extension
for additional years.
For further information, please contact Daniel Pitti at 434-924-6954,
dvp4c@virginia.edu.
To apply, please go to
jobs.virginia.edu/applicants/Central?quickFind=67459 or visit Jobs@UVA
(https://jobs.virginia.edu) and search for posting number 0610025.
Complete an online staff application, attaching a cover letter, resume
and contact information for three references. This position will remain
open until filled. The University of Virginia is committed to enhancing
multicultural and gender diversity. It is an Equal
Opportunity/Affirmative Action employer and encourages applications from
women, members of underrepresented groups, people with disabilities, and
veterans.
