Job Summary: The CUBRC, Inc. Buffalo NY office is seeking highly motivated graduate and undergraduate students for applied ontology internship and part-time work experience programs. Interns will work on state-of-the-art research and development projects. The successful candidate will join an established team of ontologists and software engineers that are creating and maintaining ontologies and knowledge graphs that deliver data analysis capabilities to our customers. 

Why CUBRC

· Interns are eligible for Holiday pay if they are normally scheduled to work on the designated holiday. 

· Free beverages and stocked beverage refrigerators

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. 

Hourly rate is based on years of schooling completed. 

Minimum Qualifications:

Enrollment in a degree program focusing on Applied Ontology (Philosophy, Computer Science, Library Science, or related disciplines).

Familiarity with top-level ontologies, especially the Basic Formal Ontology.

Excellent written and verbal communication skills including the ability to summarize and present work to audiences of varying levels of expertise.

Self-driven and a team player with the ability to work on multiple projects with multi-disciplinary teams. 

Special Requirements:

Must be able to obtain and remain eligible for a US Department of Defense security clearance during the course of employment. 

Preferred Qualifications:

Experience using W3C and semantic web standards and technologies, such as RDF, OWL, SPARQL, and SHACL.

Experience with ontology editors (especially Protégé) and graph databases.

Familiarity with Common Core Ontologies and methodology, OBO Foundry methodology, git versioning, software development practices, data normalization, ETL procedures, data integration processes and tools, entity resolution, referent tracking, data workflow tools, or data analysis tools.

Desire to develop innovative applications of ontologies and semantic technologies to enable end-user needs.

Some experience with high-level coding languages or scripting/interpreted languages, such as Java, JavaScript, and/or Python.