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that enable interpretable models to learn from deep representations. In this project, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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that allow you to: understand and apply quantitative (statistical, econometrical, analytical) methods, understand regulation-related theory and practice; motivation to do high quality research with the aim
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-based PhD program. The department has a strong commitment to theory development and innovative research, but we also prioritize the societal value of our research and devote ample time and attention
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environment that brings together expertise in computational design, digital fabrication, and architectural history/theory. The project will be situated within ongoing explorations of robotic fabrication
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems, ranging from chromosomes
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to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems, ranging from chromosomes
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design. Their research contributes to the theory and practice of sensory and cognitive communication and augmentation design and the section is unique for its cross-disciplinary approach to design for real