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The Department of Mathematics at Aarhus University , Denmark, a top 100 university, invites applications for attractive PhD stipends. The application deadline is 1 November, 2026, with the earliest start date 1 February, 2027. Further details and application instructions are available by...
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Position Description The Department of Mathematics at Aarhus University , Denmark, a top 100 university, invites applications for attractive PhD stipends. The application deadline is 1 November, 2026, with the earliest start date 1 February, 2027. Further details and application instructions...
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Stochastic Transport Operations Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is
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calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting
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explore new mathematical and computational approaches to represent such systems, drawing on ideas from stochastic processes, four-dimensional (space-time) modelling, complex systems, agent-based modelling
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. The department has a strong international research staff with expertise in dynamical systems, topology, geometry and algebra, as well as in stochastics (statistics, data analytics, probability). Faculty of Science
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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reinforcement learning (RL), active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems. Key research directions include: adaptive data acquisition
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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
Monte Carlo simulations together with concepts from statistical physics and non-equilibrium dynamics, you will investigate charge transport, stochastic switching, memory effects and the emergence