Task 3.1: Prototype Development of OCRA & VTL: AI Enrichment, 3D Visualisation and Ingestion Stubs, focusing on the development, testing, and evaluation of initial prototypes for the OCRA and VTL tools, as well as initial CIT mechanisms for metadata processing and integration. The task also includes Artificial Intelligence functionalities, 3D visualisation, and evaluation of the prototypes based on technical KPIs.
Task 3.2: Production Development of Scalable OCRA/VTL Pipelines, Multilingual Semantic Enrichment & CIT Automation, focusing on the evolution of the OCRA, VTL, and CIT prototypes into scalable and production-ready services, incorporating advanced Artificial Intelligence capabilities, multilingual semantic enrichment, automated metadata processing, CI/CD, containerization, testing, and technical documentation of APIs/SDKs.
The candidate is expected to contribute to the development, testing, evaluation, and technical documentation of results related to the following deliverables:
- D3.1 Prototype Tool Suite (Basic OCRA & VTL)
- D3.2 Full-Feature OCRA & VTL Release
WP4: Semantic Framework & Interoperability – and more specifically, in the following tasks:
Task 4.1: Ontology Definition, Alignment and Formalization (CIDOC-CRM & INSPIRE), focusing on the design and extension of the MNEME semantic model, the alignment of concepts with CIDOC-CRM and INSPIRE, and the development of the final model in OWL/RDF format, with appropriate documentation and links to external vocabularies.
Task 4.2: Prototype Knowledge Graph Population, SHACL Validation & Curatorial Quality Assurance, focusing on the initial creation and population of the MNEME Knowledge Graph with data from the prototypes and pilot applications, the transformation of data into RDF according to the ontology developed under Task 4.1, and the implementation of SHACL validation and quality assurance procedures for semantic mappings.
The candidate is expected to contribute to the analysis, data processing, modelling, evaluation, and technical documentation of results related to the following deliverables:
- D4.1 Semantic Model & Ontology Extensions (v1.0)
- D4.2 Knowledge Graph Deployment & Validation Report (Prototype)
Where to apply
E-mail: rc-proskliseis@uowm.gr
Requirements
Research Field: Engineering » Computer engineering
Education Level: Master Degree or equivalent
Skills/Qualifications
- University Degree/Diploma in Electrical and Computer Engineering, Electronic Engineering and Computer Engineering, Computer/Computer Engineering, or a related University Degree/Diploma from a Higher Education Institution (HEI) in Greece, or an equivalent qualification in the corresponding field from an institution abroad, recognized in accordance with the applicable legislation.
- PhD candidate in a field of study related to the subject matter of the project. The candidate status must be documented by an official certificate issued by the relevant Department.
- Good command of the English language, at B2 level.
- Demonstrated knowledge or experience in the use of computational tools for modelling, simulation, data analysis, or the development and evaluation of technical/computational applications, which may be acquired through studies, a diploma thesis, research or technical projects, or other relevant activities.
Specific Requirements
- Grade of the basic degree.
- Completion of a diploma thesis or other documented scientific/technical work focusing on modelling, simulation, algorithm development, data analysis, testing, or evaluation of complex technical or computational systems.
- Knowledge or experience in one or more of the following areas: software development, Artificial Intelligence/Machine Learning, data processing, development and testing of computational services, or semantic technologies.
- Very good or excellent command of the English language, at C1 or C2 level.
Languages: ENGLISH
Level: Basic
Research Field: Engineering » Computer engineering
Internal Application form(s) needed
81618_Call_RC_UoWM_105_2025_english.pdf
English (259.58 KB - PDF)
Additional Information
Work Location(s)
Number of offers available: 1
Company/Institute: RESEARCH COMMITTEE UOWM
Country: Greece
City: Kozani
Postal Code: 50150
Contact
City: Kozani
Website: http://rc.uowm.gr
Street: ZEP Kozanis
Postal Code: 50150
E-Mail: rc-proskliseis@uowm.gr
