30 Mathematics positions at University of Twente (UT) in netherland

PhD position on automated and alternate assessment in undergraduate mathematics

to staff position within a Research Infrastructure? No Offer Description Thousands of students across many technical programmes are taught mathematics every year at the University of Twente, by

Assistant/Associate Professor in mathematical statistics or statistical learning

programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Within the faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), the Department

Assistant/Associate Professor in Mathematics of Scientific Machine Learning

programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We offer a position in the Mathematics of Imaging & AI group within the Department of Applied Mathematics

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 on analysis of geometric machine learning methods

candidate will work under the supervision of Dr. rer. nat. José A. Iglesias Martínez and prof. dr. Christoph Brune, as part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA

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

on calibration in deep learning at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in

PhD position on Sparse Training for Energy-Efficient Deep Learning

efficiency of deep neural networks. Investigate the mathematical underpinnings of sparsity in deep learning and its effects on learning dynamics, and generalization. Implement and benchmark sparse training

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

13 Phd Positions on the EU Horizon 2020 Marie Sklodowska-Curie Project POSEIDON

completing, a Master’s degree in Civil Engineering, Geophysics, Geology, Geotechnics, Earth Sciences, Applied Mathematics, or a related field. Possess programming skills, which would be a significant advantage

Postdoc position in rivers and flood resilient landscapes

Specific Requirements PhD in river dynamics or dike strength from a background in Civil Engineering, Environmental Fluid Dynamics, Applied Mathematics or related discipline Strong publication record You have