Antwerpen | More than two weeks ago
For further development of the IDLab machine learning cluster, we are looking for a PhD candidate in Machine Learning for Neurofeedback applications.
In the context of human-centered AI (systems that understand human properties like intention and behaviour) and neurofeedback (measuring brain signals and allowing a participant to manipulate them), you will conduct academic research on Machine Learning techniques to study EEG and fNIRS data.
You will develop new methodologies for time series analysis and dimensionality reduction.
You will develop algorithms for intelligent neurofeedback to optimise the interaction of a person with its environment. These algorithms will be based on recurrent neural networks, markov models, and other sequential models.
You prepare a PhD dissertation on Machine Learning approaches for analyzing neuro-imaging data, such as EEG and fNIRS data. You will be supervised by prof. Steven Latre and dr. Jannes Nys.
You publish and present results both at international conferences and in scientific journals.
You interface and collaborate on a technical level with research partners.
IDLab Antwerp
If you are interested in this position, please apply at: https://jobs.idlab.uantwerpen.be/o/phd-vacancy-for-machine-learning-for-neurofeedback-applications
Questions concerning the position can also be sent to hanne.everts@uantwerpen.be.

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