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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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Infrastructure? No Offer Description KU Leuven seeks a highly motivated PhD candidate for a fully funded international doctoral position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project TURBO
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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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for this vacancy, this concerns a joint PhD position with KU Leuven as the main institution and primary workplace (and VUB as the partner institution).• Subject-matter expertise and an international research network
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. Networking skills, creativity, persistence, and passion for what you do are highly valued. You will work in Leuven, a historic, dynamic and multicultural city located in the heart of Europe. As PhD researcher
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institution. Detailed information about the program, including admission requirements and placement records, can be found at https://feb.kuleuven.be/ research/PhD/businesseconomics/Business The Department
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. The first 36 months are funded by the MSCA Doctoral Network SPACE-MEL; the appointment is extended to a full four-year doctoral trajectory at KU Leuven. Intended start date: begin 2027. Eligibility
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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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-ranked university, in a laboratory with a established international network. •You will receive a competitive salary in accordance with the KU Leuven scales for PhD students. •You will have the opportunity
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for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based