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Field
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: Have (or be close to completing) an MSc in computer science or a related field. Have an interest in both theory and practice. Have strong programming skills and interest in developing state-of-the-art
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using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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• Coalitional models for efficient sharing of joint energy infrastructure (such as a community heating network or community battery). This can use, e.g. techniques from coalition theory such as Shapley values
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change, healthcare shortages and the design of fair and efficient markets? Are you excited about advancing economic theory and measuring citizens’ preferences and attitudes on a large scale? At Maastricht
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to 10% of your working time. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https
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Apply now Do you want to engage with farmers, policymakers, and other stakeholders to find solutions to the Dutch agri-environmental challenges? Are you eager to learn from practice and theory, and see
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? Are you excited about advancing economic theory and measuring citizens’ preferences and attitudes on a large scale? At Maastricht University, you will have the opportunity to join an international
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Dynamical Systems; Probability Theory; and Statistics and Data Science. There are many collaborations between the themes. More information about the Mathematical Institute can be found here . Terms and
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-develop experiments designed to validate intended policies. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to design and carry out behavioural experiments using state