27 phd "Mathematics" positions at University of Twente (UT)

PhD position on automated and alternate assessment in undergraduate mathematics

to benefit the teaching and learning of mathematics. FERMAT has made streamlining assessment one of its core interests. We seek a PhD candidate who is passionate about mathematics education to engage in a

PhD position (f/m/d): Pioneering simulations of offshore wind farm turbulence

to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated PhD candidate to delve into flow dynamics in offshore wind farms, developing novel computer

PhD position on Cardiorespiratory Modelling and Simulation in Critical Care

staff position within a Research Infrastructure? No Offer Description The Cardiovascular & Respiratory Physiology (CRPH) group of the University of Twente is looking for a PhD-candidate in a collaboration

Postdoctoral position in Precision Engineering

environment that is diverse, inclusive and supportive of excellence in research and teaching. Requirements Specific Requirements You obtain a PhD degree and background in mechatronics, mechanical engineering

PhD position on analysis of geometric machine learning methods

to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated, theory-oriented PhD candidate to work on the project "A continuum view on geometric deep

PhD position on Fast and Accurate Integral Equation Methods for Computational Problems in Wave Phenomena

-edge research at the intersection of computational mathematics and its applications in physics, engineering, and material sciences, with a specific focus on addressing direct and inverse problems in

PhD position Reinforcement learning for digital finance

: Good programming skills. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Jax) is helpful; Strong mathematical background, in particular statistics & probability, linear algebra

PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems

essential to mitigate this risk, ensuring that the model's posterior distribution accurately represents uncertainty without being excessively overconfident. The PhD candidate is supposed to carry out research

PhD position on Sparse Training for Energy-Efficient Deep Learning

to staff position within a Research Infrastructure? No Offer Description The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy

PhD position on Sparse Training for Deep Reinforcement Learning

original research on sparse-to-sparse training techniques, exploring new frontiers in algorithmic development for DRL. Investigate the mathematical underpinnings of sparsity in deep reinforcement learning