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climate and hydrometeorological modeling, urban biometeorology, and climate-sensitive urban design? Do you want to pursue a PhD study that translates advanced urban (bio)climate and hydrometeorology
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into detector specifications, design and model suitable device structures, develop a CMOS-compatible fabrication and integration route, and fabricate experimental devices. You will characterise spectral
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Position 1 - Hybrid Traffic Flow Modelling This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed
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optimal ways to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in
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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic
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tolerant spotsize converters for Photonic Integrated Circuits. Validate models through experiments and enable fast and accurate design Collaborate closely with process, PDK, and PIC design teams and
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skills in one or more scientific computing environments, such as Python, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody
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Challenge: Developing, operationalizing, quantifying, and embedding complex human and legal values into alignment pipelines for AI systems, open-weights, and foundation models. Change: Advancing
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Help redefine cancer treatment through nanomedicine. We are seeking a highly motivated PhD candidate to work at the cutting edge of lipid nanoparticle design & molecular modeling Job description
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be