I-2424 RESEARCHER IN DIGITAL TRANSFORMATION AND DATA ECOSYSTEM ORCHESTRATION

at  Luxembourg Institute of Science and Technology LIST

EDUCATION

• PhD in topics related to Business informatics, Information System, Computer Science, etc.

EXPERIENCE AND SKILLS

• Expertise with business analysis and conceptual modelling (goal , value, data, information and processes).
• Proven experience with digital transformation projects.
• Proven experience in conducting and publishing research.
• Excellent collaborative and communication skills.
• Ability to work in a dynamic, project-driven environment.
• Ability to travel abroad to attend project meetings and relevant events.

LANGUAGE SKILLS

• Excellent level of both written and spoken English and good knowledge of French, German and/or Luxembourgish is a plus. Any other European language is considered as an asset.

EDUCATION

Postgraduate

• Ecosystem orchestration: In pilots, support the stakeholders in identifying roles and responsibilities of actors in the setup of data ecosystem(s), as well as relevant data flows for the entire LDT/data spaces lifecycle. Assist pilots in mapping data types and flows, data access and sharing requirements and develop data governance models.
• Value creation: Ensure that the pilots business cases are pertinent and contribute to value addition, and therefore also adoption of data spaces and/or digital twins.
• Adoption barriers: Identify incentives for different actors to participate in data spaces, and address barriers to data sharing and reuse. Understand stakeholder resistance and develop strategies for the adoption of data-driven approaches (including Digital Twins).
• Data Governance Schema: Conceptualize concrete approaches for the scoping and prioritization of the needs for exploiting data in the context of smart cities and predictive infrastructure maintenance.
• Knowledge Hub: Contribute to maintaining a state-of-the-art on data spaces and data governance topics, with a special interest on the ongoing initiatives implementing European Common Data spaces. Collect best practices, case studies, and lessons learned related to LDTs development, deployment and adoption.
• LDT Maturity Matrix: Contribute to the creation of a comprehensive LDT Maturity Matrix, evaluating the enabling data ecosystems for sustainable local digital twins across partner cities, or the adoption of data-driven decision-making by infrastructure managers.
• Digital skilling and upskilling of the ecosystem: Identify gaps in terms of missing capacity or skills regarding the adoption of data-driven decision-making, with a special focus on the public sector, and smart communities.
• Sustainability and Scalability: Assess the long-term sustainability and scalability of data-driven solutions, considering resource constraints and diverse operational contexts.
• Contribute to dissemination activities: research publications, public outreach communication, practitioners oriented communications.