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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
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provision of user-tailored climate services including products related to climate modeling. The successful candidate will have experience in two or more of the following areas: numerical climate modeling
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an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits
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engineering, computer science applied to urban infrastructure, data science, or a related field. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms
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numerous applications, including electric vehicles and the integration of renewable energy sources. In light of the circular economy and the principles of responsible consumption and production, utilizing
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computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real