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Tenure-Track Professorship in Data Driven Partial Differential Equations Employer UNIVERSITY OF VIENNA Location Vienna (Landbezirke) (AT) Closing date 15 Sep 2026 View more categories View less
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intradisciplinary cooperation. https://mathematik.univie.ac.at/en/research/applied-and-computational-partial-differential-equations/ Your academic profile: Doctoral degree/PhD Two years of international research
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 hours ago
Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control
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project The PRONTO project aims at modeling public transport networks with stochastic partial differential equations. The project is joint between research groups in mathematics and automatic control
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Mathjobs.org | about 1 month ago
, dynamical systems, geometry, algebra, analysis and partial differential equations, applied mathematics and numerical analysis. The department also hosts several research centers including the Anatole Katok
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, dynamical systems, geometry, algebra, analysis and partial differential equations, applied mathematics and numerical analysis. The department also hosts several research centers including the Anatole Katok
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in Neural Information Processing Systems. Vol. 38. OpenReview . 2025. [2] J. R. Hübers et al. “Foundation Inference Models for Ordinary Differential Equations”. In: Forty-third International
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. R. Hübers et al. “Foundation Inference Models for Ordinary Differential Equations”. In: Forty-third International Conference on Machine Learning . 2026. [3] C. Métayer, A. Ballesta, and J. Martinelli
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solvers (e,g for physical systems governed by partial differential equations) and which respects physical laws. Represent the general properties of relevant and real-world data by self-supervised
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, optimization, ordinary and partial differential equations, numerical solvers, quantum information science, scientific machine learning, statistical inference, time integration, and uncertainty quantification