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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from
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: Prof. Dr. Steven Travis Waller, Chair of Transport modeling and simulation, and co-supervised by at least one additional professor, plus an international tutor of the CRC Requirements: excellent
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Management with Data-Driven and Nature-Based Solutions Apply for this job See advertisement About the position A PhD position in Climate-Resilient Urban Stormwater Management with Data-Driven and Nature-Based
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on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban environments shall be performed. Subsequently weather-and turbulence-related limit values shall be formulated
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of multiple modes of buses, AMOD vehicles, private cars, cyclists, and pedestrians, and optimizes multicriteria involving passenger delays, traffic efficiency, environmental impact, and equity, among others
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frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban
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-Jan Reichart Dr Martin Ziegler , and Dr Lennart de Nooijer . Multiple others will be involved for specific aspects of the project. Foreseeable international collaborators include Profs. Stijn de
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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and simulation, Railway mechanics, and Structural mechanics. About the research project The current PhD position is one out of four within the project RAM3 : “Unlocking the Potential of Recycled
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drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but