13 artificial-Intelligence-phd positions at University of Twente (UT)

PhD position on Sparse Training for Deep Reinforcement Learning

to staff position within a Research Infrastructure? No Offer Description This doctoral research will be at the intersection of sparsity and artificial intelligence. The research will investigate

PhD position on Robust, Generalizable AI for Medical Imaging

to staff position within a Research Infrastructure? No Offer Description Artificial intelligence is increasingly being used in medical applications, supporting doctors and other medical professionals

PhD Position in Machine Learning for Green Credit Scores

artificial intelligence models for real-world financial problems Validate the utility of innovative explainable artificial intelligence (XAI) algorithms to financial applications and extend existing frameworks

PhD position on Sparse Training for Energy-Efficient Deep Learning

(or the willingness and capacity to learn); You have the desire to conduct outstanding research and publish in high-quality Artificial Intelligence conferences and journals; You have a good team spirit and like to work

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

Postdoctoral research management position on Digital Finance

of building a single digital market for data; Artificial intelligence for financial markets. Address deployment issues of complex artificial intelligence models for real-world financial problems; Towards

PhD position Reinforcement learning for digital finance

single digital market for data; Address deployment issues of complex artificial intelligence models for real-world financial problems; Validate the utility of pioneering eXplainable Artificial Intelligence

PhD Position in Machine Learning for Digital Fincance

an intelligent search bot that maximises AI technologies to improve the accessibility and user experience of public data portals. Further research will focus on ML techniques and NLP to improve supervisory

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

PhD Position in Modeling green credit scores for Digital Finance

artificial intelligence models for real-world financial problems Validate the utility of innovative explainable artificial intelligence (XAI) algorithms to financial applications and extend existing frameworks