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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 5 days ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Dynamic Process Modelling and Value Chain Assessments for Sustainable Methanol from Renewable Energy With cutting-edge research in
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Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
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. The ability http://intra:82/jpn/employ/saiyou/pdf/3_icharm.pdf [Work content and job description] (1) Development of an integrated hydrological model as part of the main research project “Development of Support
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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Engineering or a closely related field Strong background in internal combustion engines, combustion, or gas dynamics Demonstrated experience with both experimental testing and numerical modeling Proficiency in
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: Experience: in numerical modelling applied to the study of sediment dynamics and coastal morphodynamics; in the production/publication of scientific papers and technical reports; in the development of projects
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mitigation strategies, such as selective yaw control and power down-regulation of wind turbines. Use experimental, field, and numerical data to validate, improve, and develop fast analytical wake models
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specimens. The postdoc will contribute to the development of hybrid modeling and identification approaches that combine classical constitutive frameworks, numerical simulation, and machine learning. The work
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid