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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Aug 2026 - 23:55 (Europe/Amsterdam) Country Netherlands Type of Contract Permanent Job Status Full-time Hours Per Week 40
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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Project, combined with advanced statistical methods, machine learning techniques and data from wearable sensors. Collaboration with clinicians, data scientists, engineers, researchers and patient
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— for example, a landscape that changes with climate, or a local action that produces effects in another part of the system. This PhD project investigates how people learn, update, and use spatial knowledge when
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requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline (computer science, electrical engineering, etc.) and you were
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science, electrical engineering, etc.) and you were at the top of your class. Excellent analytical skills and a solid basis in machine learning and/or operational research. You can understand literature in both
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practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in AI alignment, human-AI interaction, and explainable AI, and enjoy
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intelligence modelling ability (e.g. statistical machine learning, deep learning, generative AI, large language models, etc.) Familiarity with plastics recycling value chain (sorting, density separation
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allow for more distributed and variable generation. Job requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline