[PlanetKR] CfA: 2 PhD positions at LOA ISTC CNR (Trento)
Stefano Borgo
stefano.borgo at cnr.it
Thu Jun 11 03:42:28 EST 2020
The Laboratory for Applied Ontology (LOA ISTC CNR, Trento) is happy to
announce 2 fully paid PhD positions in collaboration with companies and
universities. (Note that the two positions have different application
deadlines.)
A) 1 PhD position at the Faculty of Computer Science (4 year PhD
program) of the Free University of Bozen/Bolzano co-funded by CNR and
NOI Techpark (Bolzano).
**Application deadline 13 July 2020
https://protect-au.mimecast.com/s/A6qkCE8wP7HnYyGnTNKQBN?domain=unibz.it
B) 1 PhD position within the Industrial Innovation Doctoral Programme (3
year PhD program) at the University of Trento co-funded by CNR and BLM
Group-Adige SpA (Trento).
**Application deadline 25 August 2020
https://protect-au.mimecast.com/s/TGvGCGv097Uq6nlqf7K7CU?domain=unitn.it
(Topic: G)
Activities will be carried out at the Laboratory for Applied Ontology in
Trento and at the companies’ locations. The positions start in Fall 2020.
Research program description and requirements:
A) Research topic: Design and implementation of a system based on
Virtual Knowledge Graphs for the use of open data related to cultural
heritage
Research description: the candidate will focus on the analysis and
conception of a system for the integration of open data on cultural
heritage present in a territory. In particular, the research will be put
in the context of the ongoing OpenDataHub.bz.it project enriching the
data and the software architecture used in the current ecosystem of
tools, as well as the know-how of the Open Data Hub team. The general
aim is to integrate and elaborate data about artefacts, events,
activities, etc., made available by the actors present in a territory in
order to guide a resident or tourist in the cultural offer in the area.
The architecture to be developed will be based on an ontological model -
which uses the Virtual Knowledge Graph approach - of the notion of
cultural heritage that includes both tangible artefacts (artistic and/or
archaeological objects, monuments, churches, etc.) and intangible
artefacts (popular and culinary traditions, uses and costumes,
traditional manufacturing techniques, etc.)
The PhD student will acquire multi-disciplinary skills concerning:
ontological analysis, conceptual modelling, formal knowledge
representation, development of data management systems based on
ontologies (OBDA: Ontology-Based Data Access), integration of
heterogeneous and distributed data, and development of technologies for
open and semantically transparent access to data and models.
Contacts:
Claudio Masolo (LOA ISTC CNR) masolo [at] loa.istc.cnr.it
Alessandro Mosca (Free University of Bozen/Bolzano) alessandro.mosca
[at] unibz.it
B) Research topic: Ontology-driven support to fault diagnosis of
manufacturing machines based on service mail flows and repair records
(area: Fabbrica intelligente)
Research description: Adige SpA is a leading industrial group producing
high-end machines devoted to work on metallic pipes and profiles, by
laser-cutting, sawing and bending. The PhD program focuses on the
diagnosis of technical malfunctioning, and leveraging on knowledge to be
extracted from service mail flows and repair records. The candidate will
carry out an ontological analysis of the maintenance process; develop a
repair and diagnosis ontology for this domain; study how such ontology,
integrated within the broader service management system, may reduce the
costs and increase the quality of the diagnosis and repair processes.
Overall, the candidate will learn how to model industrial scenarios
(with a focus on maintenance) using rigorous ontological methodologies,
working side by side with mechanical engineers and ontology experts.
Ideal Candidate (skills and competences): Master in mechatronics,
mechanical engineering, management/logistics engineering, computer
science. Knowledge of Italian is mandatory.
Contacts:
Stefano Borgo (LOA ISTC CNR) stefano.borgo [at] cnr.it
Paolo Galvagnini (BLM Group - Adige Sys) paolo.galvagnini [at] adige.it
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