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cyberattacks) on the Internet of Energy concept within the distribution grid. The SAILING Doctoral Network aims to train 12 next generation scientists in creating an intelligent and automated energy management
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check. Individuals conducting research in critical infrastructure areas (i.e., communication infrastructure systems, cybersecurity systems, electric grid, hazardous waste treatment systems, and/or water
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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a highly motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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qualifications of the candidates, beginning at the minimum required qualification for appointment to the category, which shall be scored in accordance with the following classification grid: 1 – Academic
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sensed estimates; collaborate with the team to develop improved and expanded gridded temperature, humidity, humid heat, and precipitation archives, along with interoperable weather and climate forecasts
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, IceCube Neutrino Observatory, KATRIN and XLZD, as well as the German Tier-1 grid computing center GridKa (see also www.kseta.kit.edu ). The doctoral school provides an attractive research environment
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generating boilers. Operation of multiple 1,250-ton centrifugal chillers. Monitoring an automated electrical switch gear system delivering 13.8 kilovolts to multiple grids. Operate emergency power generators
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ability to create responsive design (Flexbox, Grid). A demonstrated ability to work on a development team, contributing to and maintaining a shared codebase using GitHub is also required, along with