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are important in our work: geometrical optics, ray tracing, (numerical) PDEs, transport theory, nonlinear optimization, Lie operators and Hamiltonian systems. PhD vacancy As part of the research program Optical
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Research Project (IRP) Problem Definition: Linking trajectory optimisation with disciplinary-specific numerical tools can result in numerical system that cannot be defined by ordinary differential equations
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technology, spaceflight robotics, dust astronomy, astronautics, electric and advanced space propulsion, the experimental and numerical simulation of atmospheric entry phenomena, the development and deployment
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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technology, spaceflight robotics, dust astronomy, astronautics, electric and advanced space propulsion, the experimental and numerical simulation of atmospheric entry phenomena, the development and deployment
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Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid
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and phenotyping for sustainable crop production with the vision to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. Within
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impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field of the re-entering
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about their climate impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB