Our valued private sector client requires a Sr. Information & Knowledge Management Specialist to support the discovery, creation, and dissemination of knowledge in the organization.

Responsibilities:

• Provide experience and expertise in Information Management and Decision Support in a R&D environment in the following S&T topics:
  • Knowledge Representation - Formalisms;
  • Data Management;
  • Information Management Services;
  • Data Quality;
  • Natural Language Processing;
  • Multimedia;
  • Document / Content management;
  • Collaboration;
  • Security / Privacy;
  • Web Information Services.

Must Have Skills:

• Must have twelve years of experience as a Information & Knowledge Management Specialist with a relevant Master diploma, or 5+ years of experience with a relevant Ph.D or 10+ years of experience.
• Experience Investigating mechanisms to facilitate information/knowledge sharing among users in order to develop shared situation awareness.
• Experience Investigating different ways to search and retrieve information from large information sources (both structured and unstructured), with interactive capabilities;
• Experience Investigating different ways to facilitate collaboration in the building of collective intelligence.
• Experience Investigating different ways to organize and manage information and provide a contextual support.
• Ability to exploit structures such as semantic networks, ontologies, and meta-data to establish links between domain models and information sources.
• Develop research and implementation strategies for knowledge management, information management, document and records management and data management. This includes project management of knowledge initiatives and retrieval of critical archived information.
• Investigating knowledge discovery techniques, including data and text mining, intelligent searches, document categorization and summarization.
• Analyzing NLP systems and capabilities.
• Required specialties may include but are not limited to:
  • Knowledge representation languages, e.g., OWL, RDF, SPARQL, etc.
  • Query languages (e.g., SPARQL);
  • Conceptual modeling software tools;
  • Data modeling software tools

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