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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly motivated and creative; Have an
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) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks, 3) problem solving
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). A deep foundation in advanced mathematics, including differential equations, linear algebra, tensor calculus, and group theory; and the ability to use these for formal, mathematical reasoning
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1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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, ACL, ICLR, EMNLP, NAACL or COLM); Have excellent programming skills; Have strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have strong communication
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of numerical quantum many-body methods to study model Hamiltonians. Strong background in linear algebra. Preferred Qualifications: Experience with density matrix renormalization group and tensor network
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practices such as unit testing and CI/CD Experience with MPI, Kokkos, OpenMP, CUDA/HIP Experience implementing or optimizing scientific libraries such as Linear Algebra Libraries, Solvers, FFTs/cuFFT
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through publications in relevant journals; solid quantitative/statistical background (e.g., probability theory, linear algebra, optimization) Strong expertise in at least one of the following areas, with
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in Hangzhou, feel free to arrange a meeting with me over a coffee! Merits Courses in Advanced Linear Algebra, Advanced Calculus, Non-Linear Optimization, Analytical Mechanics, Stochastic Optimization
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously