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. However, translating sustainability ambitions into measurable operational improvements remains a major challenge.This PhD project aims to help organizations bridge that gap. By combining Business Process
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.• A specific PhD topic and a developed study design.• PhD training and intensive supervision.• Research infrastructure and training in its use.• Training and guidance in writing scientific papers.• A
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further doctoral training for PhD candidates in the framework of the KU Leuven Arenberg Doctoral School ( https://set.kuleuven.be/phd ), known for its strong focus on both future scientists and
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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top EU and KU Leuven research teams. Eligibility criteria We are looking for highly motivated PhD researchers with a strong interest in hardware-software design for embedded systems and Embedded AI
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in social housing.This PhD research is being carried out within the RESHAPE project (see above) and supervised by the Urban Design, Urbanism, Landscape and Planning (UULP) research group
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, artificial intelligence, food technology and sustainability from KU Leuven, ILVO and Artevelde University College of Applied Sciences. The PhD candidate will be responsible for:•Designing and developing
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: https://admin.kuleuven.be/rd/doctoraatsreglement/en/phdregulation-set A full-time doctoral scholarship for four years, subject to positive evaluation, and a PhD degree in Engineering Science upon
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at different timescales, exploring trade-offs between different design choices, quantizing the models, and implementing the best-performing ones in custom digital hardware, on FPGA and/or in an application
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, they are difficult to scale, maintain, and align with regulatory DPP requirements or evolving product configurations. Research objectives The objective of this PhD project is to design DPP data