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PhD Position in Parsing and Formal Representation of Geographic Questions Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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, such as financial reporting, management accounting, and sustainability, using state-of-the-art experimental, analytical, and archival methods. Our research group is highly ranked, has a strong international
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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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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to have knowledge of discrete-event systems, and knowledge of or interest in learning about formal methods, in particular, the theory of Supervisory Controller Synthesis. PhD 4: AI-driven legacy system
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control synthesis methods. We invite highly motivated students with a strong background in discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within
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to understanding the phenomena. Identifying the fundamental variables, trade-offs and relationships that are most important to studying the phenomena and formalizing them in a measurement model. Developing and
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. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from mathematical machine learning
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environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design principles
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of positively and negatively charged polyelectrolytes will be the basis for a new method for the fabrication of membranes, requiring only water as a solvent. The porous structure of the membrane will be