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Research Assistant in Brain-Computer Interface

University of Sheffield

Sheffield, United Kingdom

Summary

Are you interested in working for a world top 100 University?
We are looking for a Research Assistant to support Dr Arvaneh’s team in the development of novel assistive devices controlled by physiological signals such as brain signals (i.e. a BCI system). BCI (Brain Computer interface) allows users to
control an external device (e.g. a robotic hand) using their thoughts. Using appropriate sensors and data processing algorithms, BCI maps patterns of brain activity associated with a volitional thought (e.g. movement imagination) onto signals
suitable for communication and control.

Our team works on a variety of BCI projects focusing on signal processing and machine learning algorithms for different applications such as communication, navigation, controlling exoskeletons, stroke rehabilitation and improving cognitive
performance. Our mission is developing advanced assistive devices and rehabilitation tools for severely disabled people. You will be a part of our team and will contribute in a number of ongoing BCI projects by conducting experiments, analysing data, developing signal processing and machine learning algorithms and preparing the results for publication.

This position is funded by University of Sheffield. It is fixed-term for 4 months full-time. Part-time options will also be considered.

You will be supported and encouraged in all aspects, but will be required to work with a good level of independence, carrying out planning and organisation at a high level. You should have an undergraduate/postgraduate degree in a relevant area and demonstrate strong background in signal processing, machine learning and programing. Hands-on experience with EEG is desirable. You will have enthusiasm and persistence and will gain a wide range of skills.

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