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optimized for a seamless continuum of education. The Teaching Academy of the TU Delft has identified this integration, engineering students’ progression and retention of knowledge & skills, as one
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becomes computationally demanding. The successful candidate will therefore focus not only on physical modeling but also on developing, optimizing, and accelerating computational approaches capable
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12 Sep 2026 Job Information Organisation/Company Mines Paris-PSL Research Field Technology » Energy technology Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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or AI – for example, stochastic optimization and sampling algorithms, high dimensional probability, diffusion models, statistical learning theory or teaching courses on the mathematical foundations of ML
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Previous Job Job Title Postdoctoral Associate in Mathematical Foundations of Generative AI Next Job Apply for Job Job ID 375806 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in energy-system modelling, mathematical optimization, control, digital twins
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information science, broadly construed, particularly those employing methods from analysis, probability, optimization, numerical mathematics, control, or information theory. Areas of interest include, but are not
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, evaluated, and optimized for a seamless continuum of education. The Teaching Academy of the TU Delft has identified this integration, engineering students’ progression and retention of knowledge & skills, as
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systems and control theory, circuit theory, optimization, and machine learning, with the ultimate goal of advancing the mathematical foundations of physics-based learning. Your responsibilities include