23 Mathematics positions at University of Twente (UT) in PhD

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

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

PhD position on Robust, Generalizable AI for Medical Imaging

a M.Sc. degree in the field of data science, computer science, electrical engineering, applied mathematics, biomedical engineering, or a closely related study program. You have a creative mindset and

PhD Position in Machine Learning for Digital Fincance

, Engineering, Information Technology, Mathematics, Computational Science or related fields; A strong passion and outstanding skills in data science and experience working with Python; Knowledge of quantitative

PhD position in Optimization, Optimal Transport and Inverse Problems

considered. The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA) at the Department of Applied