The TALOS European project at University of Crete (Greece) is
advertising 3 PhD positions in Artificial Intelligence for Digital
Humanities (https://talos-ai4ssh.uoc.gr/)

_Domain_: Artificial Intelligence & Digital Humanities

_Duration & Start date_: 3 years & as soon as possible

_Funding_: 1.200 € net salary

_Location_: University of Crete (Greece) at Rethymno (https://en.uoc.gr/)

_Required degree_: Master in Computer Science or in Digital Humanities

_Contact_: Prof Christophe Roche (christophe.roche@uoc.gr –
http://christophe-roche.fr/) & Dr Maria Papadopoulou
(maria.papadopoulou@uoc.gr – http://o4dh.com/maria-papadopoulou)

*a) 1 PhD in “Semantic Annotation and Knowledge Graphs. Application to
Classics/Ancient Greek”*

Use Hybrid AI (Deep Learning, Symbolic AI, Natural Language Processing)
to semantically annotate large text collections that cover vast
historical time periods. Semantically annotated texts will be enriched
with metadata, i.e. with references to concepts stored in knowledge
graphs, including domain ontologies, for the purpose of effective data
management. The objective is to produce open datasets that are
shareable, searchable, findable, and linkable to external resources.

*b) 1 PhD position in “Artificial Intelligence for the Preservation and
Dissemination of Cultural Heritage”*

The objective is to preserve and open cultural items in such a way that
they are shareable, linkable and findable. Particular attention will be
paid to scarce resources such as linear B inscriptions. Deep Learning
will be used to complete inscriptions. Terminology, ontology and
knowledge graphs will be used for their representation. Expected results
include the creation of an online museum and library dedicated to the
Linear B inscription in compliance with the Linked and Open Data standards.

*c) 1 PhD in “Digitalisation of Education: Contribution of Artificial
Intelligence to Curriculum Analysis”*

The aim of the PhD is to propose a modelling and a digital
representation of curricula that allow their processing by machines, for
example for the study of their alignment with skills and activities. To
this end, the contribution of artificial intelligence, natural language
processing, Knowledge representation and standards (ISO & W3C) will be
studied. This includes ontologies which “are used with great success in
education because they allow to formulate the representation of a
learning domain by specifying all concepts involved, relations between
concepts and all properties and conditions that exist” [Stancin et al.
2020].