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.
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