About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary 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. The "Technical Standardisation for trustworthy and sustainable ICT, Construction, and Aerospace" programme represents a strategic collaboration between Luxembourg Institute of Standardisation, Accreditation, Safety, and Quality of Products and Services (ILNAS) and SnT at the University of Luxembourg. This multidisciplinary initiative is aligned with Luxembourg''s National Technical Standardisation Strategy 2024 2030 and emphasizes sustainability across various sectors. The programme includes cutting edge research activities and promotes active contributions to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People Centred Design (PCD) for Sustainable Construction, and Sustainable Space. Each position addresses specific sustainability challenges through research and active contributions to standardisation efforts. Your role This fully funded PhD position is focused on People Centred Design (PCD) for Sustainable Construction. Your research will directly contribute to developing AI driven tools and IoT enabled systems that make buildings more energy efficient, resource efficient, and occupant friendly. Potential areas of exploration include: AI based decision making techniques for sustainable construction practices Optimising energy usage and occupant comfort through IoT enabled systems Integrating data driven techniques with sustainable building standards for a holistic evaluation of building sustainability Participate in relevant technical committees, consider the usage of standards, and contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Gregoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI driven solutions PCOG conducts research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state of the art, large scale discret