Semantic Web Developer for Digital Library Systems and Services,  
responsible for design and development in the Self Archiving Legacy  
Toolkit  project (SALT), which will make the archives of distinguished  
faculty accessible online in a semantically rich discovery  
environment.  This is a 1 year fixed term position.

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Full description and application process found at http://jobs.stanford.edu/find_a_job.html
Search for keyword 32314

Description:

The Digital Library Infrastructure group, a dynamic team focused on  
realizing core components of the Stanford University Libraries’  
emerging digital library architecture, is looking for an enthusiastic  
semantic web developer wanting to contribute to a visionary project on  
the Stanford campus, looking for hands-on experience with next  
generation web technologies and collaborating with cutting-edge  
partners in industry.

The Semantic Web Developer will be responsible for the design and  
development of key components for the Self Archiving Legacy Toolkit  
(SALT), a project to make the archives of distinguished faculty  
accessible online in a semantically rich discovery environment. SALT  
is to be a hosted software solution for displaying documents,  
extracting concepts, placing concepts in a context of name  
authorities, identifying tags, enabling voice or text annotations, and  
encouraging relationships to be drawn. These tools together will build  
a semantically annotated knowledge base. SALT will integrate with an  
open knowledge store and a next-generation discovery environment from  
partners supporting advanced navigational search. We wish to organize  
and present our annotated content in a way that makes it most  
discoverable, deliverable, and mashable by the next-generation  
internet search tools.

The successful candidate will have a Bachelors degree in Computer  
Science or a related field (advanced degree preferred), at least five  
years of experience and must have programming experience with server- 
side development experience using PHP (preferred), Ruby on Rails,  
Perl, or Python, and SQL. They will have an excellent understanding of  
HTTP, client-server interactions and caching, web services such as  
REST. Web skills should include HTML, XHTML, CSS, JavaScript, AJAX,  
XML. The candidate must have recent experience with semantic web  
technologies such as RDF/RDFS, OWL, SPARQL, Sesame, MIT SIMILE.  
Experience with semi-automatic statistical clustering techniques,  
natural language processing, or ontology generation a definite plus.  
Experience with Drupal, Django, or equivalent CMS ls also a plus.