About the SnT
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
TheInterdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.Welook forresearchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Your role
The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg, together with several of the EU''s main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
In particular, the successful candidate will be part of the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders.
The candidate will be involved in various (inter-)national initiatives and engaged with different political decision makers. In addition, the candidate will have the opportunity to investigate a broad range of research areas with particular focus on understanding the foreseeable adoption of various energy technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design grid tariffs that align grid and market incentives (e.g., price elasticities, dynamic tariffs, nodal pricing, etc.).
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Applications should include: