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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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are encouraged to apply. Selection process To apply, use the KU Leuven online application platform (applications by email are not considered). Applications should ideally include: a) an academic CV and a PDF of
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, focusing on the development of algorithms for proactive decision support in non-stationary warehouse environments. This project aims to study warehouse efficiency across interdependent processes – including
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, ensuring smooth vessel operation (without abrupt manoeuvres), complying with regulations, and reaching the destination on time. In addition, the optimal use of hybrid propulsion systems (such as engines and
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, not in problems; has an excellent command of English (spoken and written). is eager to apply for an independent fellowship with the support of the PIs. Selection process For more information please
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is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals
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cannot be considered. Selection process You can apply for this job no later than August 13th 2026 via the online application tool, including: 1. A detailed CV highlighting relevant experience and skills
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the process of obtaining this degree in time). While funding is available for 4 years, we do ask new PhD students to apply during their first year for individual fellowships from the science foundation FWO
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jobs.vub.be , and upload the following documents: your CV; your motivation letter; a writing sample (e.g., an article or paper you wrote); your diploma (not applicable for VUB alumni). Our application process
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data collection in Flanders. Selection process Interested candidates are asked to submit the following documents: • CV • A motivation letter explaining your background and interest in an academic