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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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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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holiday leave, company pension scheme (VBL) We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous company health management
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, mobile working and flexible working hours Numerous company health management offerings Employee discounts with well-known providers via the platform Corporate Benefits An employer subsidy
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. Master's degree certificate and corresponding transcript of records. In some Key Subject Areas: further subject-specific requirements as listed in the application portal. If already applicable: copy of your
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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) including 30 days of paid holiday leave, company pension scheme (VBL) We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous
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-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous company health management offerings Employee discounts with well-known providers via
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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