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Field
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developing profile and an understanding of relevant methods and techniques. Strong numerical and computational skills, plus proficiency in at least one of: Python, MATLAB, or C++, particularly for data
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well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will investigate questions concerning
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Candidates should demonstrate experience and/or knowledge in one or more of the following areas: Numerical modelling of materials and structures using the Finite Element Method (FEM). Simulation of damage and
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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well identified at national and international level, with numerous connections in the field of research, which could lead to collaborations during the thesis. The CNRS Cronenbourg Campus is situated in a
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well identified at national and international level, with numerous connections in the field of research, which could lead to collaborations during the thesis. The CNRS Cronenbourg Campus is situated in a
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building-energy challenges requiring rigorous mixed-methods research designs—combining statistical analysis and large-scale survey research with qualitative interviews, focus groups, case studies, UI/UX
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develop our own numerical methods and tools, but also extensively employ and co-develop numerical techniques provided by the international community. We are looking for one PhD student to join our team in
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Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is
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: Computational Imaging and Surface Science You will develop the computational methods needed to extract high-resolution surface information from coherent backscattered electron measurements. You will develop