ORGANISATION/COMPANYUniversidad Politecnica de Madrid
RESEARCH FIELDComputer science › Informatics
RESEARCHER PROFILERecognised Researcher (R2)
APPLICATION DEADLINE26/09/2021 00:00 - Europe/Athens
LOCATIONSpain › Boadilla del Monte
TYPE OF CONTRACTTemporary
HOURS PER WEEK37,5
EU RESEARCH FRAMEWORK PROGRAMMEH2020
• Development of connectors for the integration of data infrastructures (including IoT data)
• Creation of knowledge graphs from decentralized data sources
• Development of services on knowledge graphs to support machine learning tasks
• Development of services on knowledge graphs to support data validation and quality assurance
• Use of knowledge graphs in value-added services such as data portals or data marketplaces
• Development of proofs of concept
• Operation and maintenance of implemented components
• Project management
The person will work in an international, diverse, and inclusive environment, enhancing his/her career as needed (training, mobility, etc.).
We are looking for a postdoctoral researcher to research artificial intelligence techniques working on knowledge graphs in the domain of the Internet of Things. The candidate will be expected to undertake both research and development tasks.
The language in the job will be English; therefore, a good level of spoken and written English (at least B2) is essential.
The person will become part of a team working in the Ontology Engineering Group, being part of the European H2020 AURORAL project team and collaborating with members of the OEG.
REQUIRED EDUCATION LEVELComputer science: PhD or equivalent
REQUIRED LANGUAGESENGLISH: Good
The person must have a research profile to work in the field of creation and exploitation of knowledge graphs generated from distributed data sources using linked data and semantics. Knowledge of the Internet of Things, data integration, definition of mappings to integrate heterogeneous data sources, validation of knowledge graphs, and machine learning on knowledge graphs and IoT data will be an asset.
Knowledge of RDF materialisation libraries, SPARQL query rewriting, as well as any technology for translating heterogeneous data into RDF will be an asset. Knowledge of technologies such as Git or Docker will also be an asset. As well as other semantic web related technologies such as SHACL shapes, RDF4J, triple stores, mapping languages (R2RML, RML), etc.
The capacity to define and develop his or her own research line, to manage projects, teamwork skills, initiative, flexibility, excellent communication skills, and the ability to work as part of a multinational and multidisciplinary team will be an asset.
EURAXESS offer ID: 683475
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