Making data-driven decisions is widely accepted among private companies. Identifying relevant data for making appropriate business decisions is crucial. High-quality data is essential for effectively using advanced techniques in decision-making processes, such as data analytics and machine learning. Despite the consensus on the data-driven approach in the private sector, the broader context of society (including organizations, groups, informal communities, and citizens) lacks an adequate technological infrastructure to share and use data securely and reliably in a privacy-preserving manner while ensuring that appropriate data quality requirements are satisfied. To address these and related issues, the European Commission initiated the creation of Common European Data Spaces (CEDS), a type of legally regulated complex ecosystems, in various strategic areas (such as healthcare and agriculture) to achieve the key objectives identified in Europe’s political, economic, and social strategy.

CEDSs aim to enable reliable and secure data that can be exchanged across the EU, allowing public and private sector operators to control and share the data they generate while integrating processes for data quality management to allow for the creation of innovative services based on advanced data processing techniques and, most prominently, AI algorithms.  This vision requires the development of a technology infrastructure that supports CEDSs and related data processes by integrating cloud and edge computing with networking, protected by security, privacy, trust, and data quality management services to enable the development and maintenance of “fit for purpose” data processes. The cornerstone of all such services is the adoption of digital identity management solutions based on the European Digital Identity (EUDI) Wallet to permit identification, authentication, and authorization of data access, auditing, and data lineage/provenance activities within and among CEDS.

By considering the complex security concerns in this domain, the candidate will be asked to develop security testing methodologies tailored to the specific challenges posed by EUDI wallets when used in different use case scenarios including, in particular, finance and banking. More concretely, the candidate will focus  on researching and implementing robust testing frameworks and techniques tailored to payment service provider apps and integrated banking app software development kits. This research contributes to enhancing the resilience of digital wallet ecosystems, securing identities, and improving trust in digital identity management practices.