13 quantum-computing scholarships at Radboud University

PhD Candidate: Understanding Learning in Deep Neural Networks

aspiring computer science researcher interested in deep neural networks? Do you want to understand the fundamental limits of machine learning? Then you have a part to play as a PhD candidate. By

PhD Candidate: Network Science for Green AI

in AI, data science and intelligent systems. Yet, their training demands significant computational power, leading to a need for energy-efficient techniques that work well on lightweight devices. Random

PhD Candidate: Analysis and Geometry on Manifolds

cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field

PhD Candidate: Modelling Global Biodiversity Change

, such as cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside

PhD Candidate: Computational Cognitive Neuroscience – Multisensory Perceptual Inference, Learning and Attention

how the brain makes sense of the senses in a complex dynamic multisensory world? How it flexibly adapts to changes in its environment? Join our multidisciplinary team to study the computations and

PhD Candidate: Computational Cognitive Neuroscience – Decision Confidence

the computations and neural mechanisms of these complex processes. As a PhD candidate, you will also have the opportunity to develop valuable skills by mentoring students, participating in international conferences

PhD Candidate in Program Verification

want to carry out a PhD in program verification and proof assistants? And help to scale it up to the verification of realistic systems software? You will be working on the semantics and verification

PhD Candidate: Experimental Neuromorphic Computing Leveraging Stochasticity

you interested in a project at the interface between computational physics, condensed matter physics, materials science and neuromorphic computing? Do you strive for both fundamental and societal impact

PhD Candidate: Neuromorphic Computing for Science

quantum many-body physics.The project closely aligns with fundamental studies on ultrafast nanomagnetism and aims to find out which computational tasks can be carried out faster and more energy-efficient by

PhD Position in Computational Biology: Using Machine Learning to Understand the Immune System

aspiring data science researcher with an interest in human immunology, causal inference in dynamical systems, and/or computer vision? Would you like to apply AI and machine learning for fundamental research