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advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g
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both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity to shape the renewable energy management system by developing novel real
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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innovative material solutions. This project tackles this challenge head-on. The project vision is to develop a pioneering AI-driven methodology for designing Functionally Graded Materials (FGMs) specifically
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the renewable energy management system by developing novel real-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may
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) for developing more reliable systems for Railway Transportation and contributes to Green Transportation. The goal is to identify early signs of wear or faults of the railway power system to improve maintenance
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to the next level? We offer an exciting 3-year postdoctoral position that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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30 PhD and post-doctoral fellows, and a large number of master’s students. About the PhD project: The goal of the project is to develop a simulation tool that, based on meterological and map data, can