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Are you intrigued by Machine Learning? As a PhD Candidate/Postdoctoral Researcher you will conduct independent research on the application of quantum formalism to develop novel algorithms for machine learning and/or to find new computational models for information processing in the brain. You have the freedom to develop your own research ideas and will be working in a stimulating environment for top researchers and young talent.
An example of previous work in this direction is the quantum Boltzmann machine that describes the learning of density matrices. Another direction is the atomic Boltzmann machine, where the dynamics of individual atoms may allow for an effective quantum description. Examples of possible research topics are efficient simulation of quantum systems through variational inference, learning quantum neural networks with quantum variational circuits, quantum reservoir computing or open neural quantum systems. You will develop your own research ideas in collaboration with Prof. Bert Kappen. Your work should lead to a number of publications in international journals and you will present your findings at international conferences.
Fixed-term contract: The position can be filled at either PhD level or postdoc level.
Additional employment conditions
Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.
As a PhD candidate or postdoctoral researcher in Quantum Machine Learning you will be embedded in the Physics of Machine Learning and Complex Systems group at the Donders Centre for Neuroscience. The group is led by Bert Kappen and Ton Coolen and conducts research on the interface of theoretical physics, machine learning, neuroscience, data science, quantum computing and medicine. The group coordinates the European Ellis programme on quantum and physics based Machine Learning.
The group is embedded in the Donders Centre for Neuroscience (DCN), which is part of the Donders Institute for Brain, Cognition and Behaviour at the Faculty of Science of Radboud University (Nijmegen, Netherlands). The Donders Institute hosts 800 researchers and conducts world class research on a broad range of neuroscience topics, as well as machine learning and artificial intelligence research. The Donders Institute has been assessed by an international evaluation committee as 'excellent' and recognised as a 'very stimulating environment for top researchers, as well as for young talent'. It fosters a collaborative, multidisciplinary, supportive research environment with a diverse international staff.
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