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still designed with deterministic rules that say little about how safe they actually are. This project sets out to change that. We are looking for a PhD Candidate to develop a probabilistic, risk
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Description Start date/duration as soon as possible for 4 years Job profile: Your responsibilities: PhD thesis in the field of statistics Independent research in the field of probabilistic modelling
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property testing. Cryptography, zero-knowledge proofs, and probabilistically checkable proofs. Locally testable and locally decodable codes. Computational learning theory. Structure-versus-randomness and
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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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into downstream probabilistic time-to-event models. Duties The doctoral student will primarily devote their time to graduate education. Other departmental duties of at most 20%, including teaching and
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probabilistic and deterministic reliability criteria with market operation in a single security-constrained optimal power flow model, and combining optimal power flow analysis with reliability analysis methods
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learning, AI, cognitive science, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as