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30 Aug 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Mathematics » Algebra
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) Strong programming and quantitative skills, including coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models
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mathematical concepts such as optimization, linear algebra, probability, and statistics, relevant to AI and quantitative modelling. Technical proficiency in programming66: Demonstrated programming skills with
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, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
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competitions, published research, et cetera); fluency in mathematical notation, comfort with algebra and calculus; C1/C2 level in English, both in oral and in writing; knowledge and/or mastery of different
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involved include: (a) Participation in CMUC's activities with his/her specialized expertise. (b) Develop research tasks integrated in one of CMUC's research groups (Algebra and Combinatorics; Algebra, Logic
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cetera); fluency in mathematical notation, comfort with algebra and calculus; C1/C2 level in English, both in oral and in writing; knowledge and/or mastery of different programming paradigms; working
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent