The Ontology Engineering Group is at the top-ten of research groups at Universidad Politécnica de Madrid (UPM). It is based on the School of Computer Science at UPM. Its research areas cover Ontological Engineering, Semantic Web and Linked Data, Semantics in Open Science, and Data-Driven Language Technologies. We have developed applications in a wide range of domains, including knowledge management, environment, e-commerce, job market, funding, geospatial, libraries, etc.

The OEG offers a 12-month contract for the evelopment of connectors for the integration of data infrastructures (including IoT data) on Knowledge Graphs

Profile: Research

Professional category: DOCTOR JUNIOR

Task to be develop:

• Development of connectors for the integration of data infrastructures (including IoT data) on Knowledge Graphs
• 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 in data portals or data marketplaces
• Development of proofs of concept on Knowledge Graphs

Work center ETSI Informáticos

Address: Calle Ciruelos 2 - 28660 Boadilla del Monte (Madrid)

Working time (h/week.): 37,50

Annual gross salary(€): €40.000,00

Expected duration (months): 12

Expected start date: 01-10-21

Required degree: PhD in Computer Science or a related discipline

Required experiencie:

• 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.
• The person must have a developer profile with experience and autonomy in the design and development of web services. For the development of these services, the person must know at least one programming language (Java, Python, JavaScript) and at least one framework for the development of services. It is also essential that the person has a solid knowledge of semantic technologies such as RDF, RDF Schema, SPARQL, and linked data. Finally, experience in machine learning techniques and frameworks (Scikit Learn, PyTorch, TensorFlow, Weka) is required.
• 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.

Others: Ontology Engineering Group

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Deathline for curriculum vitae admission: September, 25th at 23:59.