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thermoelectrics. QUALIFICATIONS AND ELIGIBILITY The ideal candidate has a university master’s degree in computational science, physics, or chemistry and is passionate about analytical and numerical modeling and
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. The objective of the thesis is to have a theoretical and numerical model of a free-surface flow on an erodible bed, satisfactorily explaining two documented historical cases of flooding by river dike failure
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the development of a phase-field model to study the mechanisms of formation and growth of tetrataenite (Ni-Fe with the L1₀ ordered structure) during cooling. The objective is to incorporate the presence
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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numerical methods and strategies to solve the electromagnetic and heat transfer problem in induction welding. Develop constitutive models that capture the temperature dependence of anisotropic
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laboratory testing to study the microstructure and the monotonic and cyclic mechanical behavior of the volcanic basalt sand. Subsequently, results of model-scale centrifuge tests and advanced numerical
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-domain dynamic simulation tool for submerged mooring lines through the development and integration of sophisticated numerical modules. The simulation tool is implemented in Julia and employs a collocation
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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from