18 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions at University of Twente in Netherlands
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
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workstreams, and the PhD’s will be working along senior staff to perform tasks in different workstreams, in strong collaboration with multiple international partners and fellow PhDs from all over the world. Key
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verification, and proof assistants. Your focus will be on developing frameworks that pinpoint and explain the root causes of failures in interacting programs - a key step towards ensuring fault-tolerance. While
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candidate will be in the lead to develop organisational principles and action perspectives that help infrastructure agencies to collaboratively maintain our roads, bridges, waterways, electricity networks and
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combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid
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at the heart of multiple Sustainable Development Goals. All around the world, however, water systems are increasingly under pressure. In urban areas, diverse human water demands are rising, e.g. for irrigation
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fidelity. In this PhD, you will help develop these next-generation tools. We are seeking a highly motivated PhD candidate to strengthen our research. Your research will focus on the development of numerical
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis