The position is funded by the Andrew W. Mellon Foundation to support the development of open-source technology for applying AI methods to visual culture
Job Summary
The position is funded by the Andrew W. Mellon Foundation to support the development of open-source technology for applying AI methods to visual culture.
Primary responsibilities include creating multimedia Open Educational Resources, facilitating workshops, and curating diverse visual collections for the DV Data platform.
The successful candidate will have the opportunity to teach up to one course per semester and travel to international conferences.
Matching Summary
The position is funded by the Andrew W. Mellon Foundation to support the development of open-source technology for applying AI methods to visual culture.
Skills & Requirements
Must-have
Ph.D. required by appointment time
Computational approaches to visual materials
Open-source software development experience
Educational resource creation skills
Community-engaged scholarship with archives
Nice-to-have
Experience with multimedia Open Educational Resources
Interest in Distant Viewing Lab projects
Ability to teach undergraduate courses
Willingness to travel to international conferences
Background in data science or media studies
Key Requirements
Ph.D. in any field required by appointment
Application via online portal at jobs.richmond.edu