12 computational-physics-"https:"-"https:"-"https:"-"https:" PhD positions at Empa in Switzerland
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submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-in-computational
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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printing methods. The project is in collaboration with the University Bern. Your tasks Explore commercial and synthesis piezoelectric ceramic powde Explore sintering additives for the cold sintering process
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varied responsibilities in a dynamic, nationally and internationally oriented research environment Access to state-of-the-art experimental and computational infrastructure Attractive employment conditions
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the University of Zurich. Your profile Master's degree in Earth Sciences, Geography, Physics, Environmental Sciences, Meteorology, or a related field. Passion for atmospheric remote sensing, chemical
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making a major impact on ensuring clean water for current and next generations, have a strong background in Chemistry, Physics, Engineering and are highly motivated to work in a multicultural and
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably