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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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system SCHISM. Key words: numerical modelling, numerical methods, nature-based solutions, saltmarsh, coral reefs. Employer and hosting lab description In a higher education and research landscape that has
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Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods
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knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to work with data from numerical weather prediction (NWP) models and
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or numerical methods for solid-state physics or theoretical chemistry. We also expect experience in programming, motivation and independence in solving scientific problems. The candidates have to conform
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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finite element software (Abaqus) via user subroutines and conduct numerical case studies to demonstrate the model capabilities. You will have the opportunity to be involved in undergraduate and graduate
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orbital dynamics using analytic and numerical methods, (2) planet formation theory, (3) exoplanet architectures and demographics using statistical methods, and (4) planetary interior/atmosphere modeling
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, provide instruction, or plan/deliver seminars relating to the research area. A background (demonstrated by publications) is expected in exploring high Reynolds number fluid flows using numerical methods