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for this project specifically) Curriculum vitae (incl. expected graduation date of your PhD) Official copy of your university degrees and grades (full transcripts for Master’s and PhD) Copies of at least two
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Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are
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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding
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communication modalities, as well as supporting prototype development and integration within simulation and real-world testing environments. A key aspect of the role is bridging technical implementation with
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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that copy, transform, and maintain data in multiple places, creating rigidity, high maintenance costs, limited scalability, and strong vendor dependencies. In response, a paradigm shift is emerging – data