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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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the project, supported by Dr. Adamo and close collaboration partners, within an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values (https
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, supported by Dr. Adamo and close collaboration partners, within an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values (https://www.unibas.ch/en
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suggest that you apply to the Doctoral Program in Mechanics (EDME) . We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://careers.epfl.ch/job
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work permits. The final enrollment in the doctoral program is conditional to the choice of a thesis topic, a supervisor and a secure funding. Application requirements Before you begin, it is important to
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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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. This international PhD is part of the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Your profile Qualification and specific competences required Master's degree
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will be enrolled in the electrical engineering doctoral program at ETH Zurich. The project is embedded in the National Competence Center for Research Muoniverse and funded by the Swiss National Science
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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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planetary boundaries by analyzing and evaluating novel materials and technologies from a circularity, life cycle impacts and safety perspective, and providing guidance for designing more sustainable materials