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Post-doctoral position offer in web semantics and linked data applied to urban simulations and assessments

Research project and job description

NOBATEK/INEF4 is a French research and technological centre on sustainable buildings and districts. As
part of its activities, we coordinate research, development and innovation projects in which companies
and laboratories take part and support us.

The DATAVIEW project aims at elaborating a data model that shall 1) facilitate data integration from
different public or private data sources and 2) facilitate interoperability between the different tools
developed by NOBATEK/INEF4 and its partners (natural lighting simulation, environmental assessment,
district heating optimisation…) at the district scale.

The setting up of a unique data model common to different scales (from building to territory) and to
different expertise (environmental assessment, urban physics…) remains an open topic in the scientific
community. Several standards have been developed (e.g. IFC, CityGML, gbXML), some of them using
semantic web standards (e.g. ifcOWL, CityGMLOWL), but none of them answering the specific needs of
NOBATEK/INEF4 and its partners.

In order to benefit from the above-mentioned existing works in the AEC (Architecture, Engineering and
Construction) environment, a Linked Data approach has been selected. Part of the work consists in:
· Identifying pertaining ontologies and define alignments between them
· Defining a domain ontology bridging the necessary knowledge gap
· Performing request on the resulting model (and in particular try to discover implicit knowledge)

Once the data model is elaborated, it will be used to structure data from existing data sources which
are already used by NOBATEK/INEF4 through the development of ETL tools (Extract/Transform/Load)
Finally, this common data model and associated ETLs will be implemented in an operational numerical
tool and in particular a web-based platform for territorial data management..


Applicant’s profile


Applicant shall have a PhD in computer science. In addition, a solid background in knowledge modelling, notably description logic-based languages such as OWL 2 DL, is wanted. Applicants should also have skills involving on Semantic Web technologies for defining and addressing queries (e.g. SPARQL) along with rule languages (e.g. SWRL, SPIN, SHACL).


Applicants should be curious and attracted by the different topics addressed in the DATAVIEW project: urbanism, lifecycle analysis, and associated simulations/assessments. Additional knowledge in civil engineering, architecture and/or construction are considered a plus.


Applicants shall be autonomous and must have a good level of French and English.


Applicants should be interested by research activities in general and be able to interact with different actors from different domains (industrials from the AEC domain, researchers from semantic web).

The post-doctoral contract is funded by the Institute for Energy Transition NOBATEK/INEF4

alignement; gestion de la connaissance; ingénierie des connaissances; Ontologies; web sémantique
33405 Talence  
Date de début souhaitée
Langues obligatoires
Anglais; Français
Type de contrat
Type de poste
Salaire indicatif
Informations de contact

Maxime Pousse
+33 (0)5 56 84 63 70