15 machine learning scholarships at University of Twente (UT)

PhD Position in Machine Learning for Digital Fincance

total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of

PhD Position in Machine Learning for Green Credit Scores

cannot be overstated. Using the power of Machine Learning (ML) models, our project will examine financial investments and credit risk indicators. While these AI techniques have found widespread application

PhD position on analysis of geometric machine learning methods

answering mathematical questions. You have a solid background in one or more of the following: functional analysis, numerical analysis, differential geometry, theoretical machine learning. You are motivated

PhD position on Sparse Training for Deep Reinforcement Learning

present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD). Collaborate with a international team of researchers and

PhD position Reinforcement learning for digital finance

for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance

PhD position on Sparse Training for Energy-Efficient Deep Learning

methods to scale up deep learning. Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine Learning, JMLR). Collaborate

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

to staff position within a Research Infrastructure? No Offer Description The vacancy is focused on calibration in deep learning. Deep Neural Networks (DNNs) have demonstrated significant predictive

PhD position on Robust, Generalizable AI for Medical Imaging

in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods

PhD position on Embedded Neuromorphic Processor Architecture with On-Device Adaptation

consumes several orders of magnitude higher energy than the honey bee's brain. Neuromorphic devices are seen as the way forward towards more effective and more efficient machine learning. However, current on

PhD position Reinforcement learning for digital finance

for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance