The Digital Humanities Technology Specialist is the DevOps engineer and
technical developer within NYU IT Research Technology and NYU Libraries
Specialized Research Services, a group that encompasses Data Services (DS)
and Digital Scholarship Services (DSS). This Specialist will work alongside
IT staff, librarians and researchers to plan and develop cutting edge
research infrastructure that will advance the state of humanities and
social science scholarship. This position builds capacity for emerging
scholarly research environments, supports specialized repository
development and growth, and works in concert with the Digital Library
Technology Services group and NYU Research Technology to investigate and
implement solutions for machine access and delivery of digital library
collections of interest to scholars.
Master's Degree Master's degree in computer science, data science,
engineering or other technical field is strongly preferred. or
3+ years relevant experience or an equivalent combination of education and
experience. Demonstrated experience in supporting information technology,
development, programming or coding/scripting.
1+ years demonstrated practical and theoretical experience with digital
humanities, data science, statistical analysis, or geospatial methods is
preferred and will be considered in lieu of a Master's degree. or 1+ years
Experience in an academic environment, preferably in Libraries and/or IT.
Comfort working with colleagues and end-users to troubleshoot technical
problems. Experience making contributions (code and governance) to open
source projects. Experience or familiarity with numeric, text, or spatial
datasets and/or customization of common content management systems (Omeka,
WordPress) is highly preferred.
Required Skills, Knowledge and Abilities:
High-level proficiency in at least one scripting language such as Python;
of Unix command line utilities, Git, web server administration, and
interaction with APIs and database systems. Experience cleaning and
optimizing data in various forms. Excellent written and verbal
Preferred Skills, Knowledge and Abilities:
Familiarity with Data Services, Digital Humanities, or Geospatial Analysis.
Familiarity with digital scholarship tools and methods, including text
analysis (natural language processing), web scraping, machine learning.
Administration of data infrastructure; including web development (Ruby on
AWS, Tomcat, Apache/nginx, SSL certificate management, Postgres and MySQL
databases, DNS), and several web applications comprising the spatial data
infrastructure (geoblacklight, GeoServer, Apache Solr, Phusion Passenger,
PostGIS); interest in working on digital library systems.
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity
How to apply
Head, Digital Scholarship Services
Published: Tuesday, April 23, 2019 19:59 UTC
Last updated: Tuesday, April 23, 2019 19:59 UTC