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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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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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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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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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, Stv. Leiterin Human Resources / Dep. Head Human Resources
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and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's what counts. PatriciaNitzsche, Stv. Leiterin Human Resources / Dep. Head Human
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global concern because of their detrimental effects on the environment, ecosystems, and human health. This highlights an urgent need to track their footprints in the atmosphere which plays a key role in
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(R1) Application Deadline 22 Jun 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry
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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