Computer Science
Work description
The main objective of the scholarship is to advance the integration of Virtual Choreographies (VCs) into Digital Twins (DTs) ecosystem in complex ocean environments. ? Conduct a comprehensive literature review on Virtual Choreographies, Digital Twins, FAIR data infrastructures, visualisation in structural health monitoring (SHM), and information system architectures, leading to a semantic model prototype and initial publications. ? Design and develop an ontology-driven orchestration model linking VC behaviours to digital twin entities, ensuring alignment with cloud-native ingestion and storage technologies. ? Design a multiplatform visualisation strategy to guarantee interoperability across different digital twin environments. ? Implement a cross-platform visualisation engine capable of rendering VC instances in real time, complemented by interactive dashboards for predictive maintenance and anomaly detection. ? Conduct pilot user studies to evaluate usability, effectiveness, and decision-support impact of the developed visualisation tools. ? Integrate outcomes into an operational platform and perform large-scale validation with stakeholders to assess performance and applicability. ? Disseminate results through peer-reviewed journals, leading conferences, and international standardisation forums, consolidating contributions into the doctoral thesis.
Academic Qualifications
Master's degree in Computer Engineering or related field
Minimum profile required
- Master's degree average above 16;- Article submitted to a conference or peer-reviewed journal, relevant to the work plan.
Preference factors
Demonstrated experience in conceptualising standard structures for virtual choreographies; - Demonstrated experience in creating and defining schemas and onthologies - Good knowledge of programming and developing algorithms for interpreting georeferenced data. - Demonstrated experience in using virtual choreographies for Digital Twins
Application Period
Since 05 Jan 2026 to 16 Jan 2026
Centre
Human-Centered Computing and Information Science