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practical skills in numerical modelling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5510-PETGRI-001/Default.aspx Work Location(s) Number of offers available1Company
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: ED431F 2025/32 Álvaro Leitao Rodríguez Job title: ED431F 2025/32 Álvaro Leitao Rodríguez Research line / Scientific-technical services: Deep Learning for numerical solutions Grant/funding period: START: 18
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. Journal of Colloid and Interface Science (2023) 638, pp. 552-560 [2] Langlois V., Salame A., Pitois O., Petit A., Soltner, B., Permeability of foam-filled granular packing: Numerical modeling. Physical
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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computing, applied mathematics, computational physics, or another relevant discipline is required, Other requirements Required qualifications include strong skills in numerical method development
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behaviors, with an emphasis on full-field and history-dependent problems. The postdoc will play a central role in the development of advanced numerical tools, in close interaction with other members
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evaluation Knowledge of numerical simulation, for example with land surface or hydrological models Genuine interest in data science and earth sciences Good organizational skills and ability to work both
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subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi
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numerical methods for quantum many-body systems, (iii) correlated electronic structure theory, (iv) tensor network algorithms. Applications should be submitted by March 1, 2026 for full consideration
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comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support