PhD Position: Engineering Trustworthy Energy Data Spaces

Official university vacancy imported from Wageningen University & Research. Details are presented for discovery and may change. Confirm the latest requirements and apply on the official source.

• How can heterogeneous data from municipalities, DSOs, households, and other stakeholders be represented and orchestrated to support interoperable data sharing?
• How can trustworthy energy data spaces be designed to balance interoperability, scalability, privacy, performance and transparency for different stakeholders?
• How can privacy-preserving mechanisms and AI-assisted data engineering support secure and efficient data sharing while fostering trust and responsible data use?
• How can data orchestration and interoperability solutions better support the information needs and decision-making practices of municipalities, DSOs, and citizens?
• Which architectural patterns and data orchestration mechanisms best support future energy applications and evolving data ecosystems?
• analysing data requirements, heterogeneous data sources, and interoperability challenges for heat transition planning;
• designing and implementing trustworthy data orchestration mechanisms based on energy data space principles;
• developing methods for semantic interoperability, data integration, and API-based data exchange across systems involved;
• integrating and evaluating privacy-preserving technologies and AI-assisted data engineering techniques within energy data spaces;
• collaborating with municipalities, DSOs, households, and industry partners to ensure that data-sharing solutions address real-world user needs and stakeholder requirements;
• evaluating the proposed data orchestration solutions through technical validation and real-world case studies with municipalities, DSOs, and other project partners;
• publishing your research in leading international journals and presenting your work at international conferences.