Are you passionate about brain-computer interfacing or neural engineering? Do you want to work in one of the most fascinating research areas currently around and help develop new understandings of how the brain works and how we can use this understanding to build interfaces to help people?
I am always looking for people to join my research team. Specific available opportunities are listed below. Additionally, if you have your own idea for a project (e.g. a PhD or other research project), please get in touch.
PhD studentship in semantic BCI (fully funded)
Brain-computer interfaces (BCIs) may be used as a communication aid for people who experience difficulties communicating via other means. However, the current state-of-the-art in communication speed and accuracy achievable with BCIs is relatively low when compared to other communication aids. This is largely because current BCIs are based on serial communication in which single discrete pieces of information are communicated one-by-one. Recent results in cognitive neuroscience, machine learning, and human language science suggest the possibility of semantic decoding; identification of activity in the brain related to semantic concepts. Machine learning may be used to identify brain activity related to semantic concepts such as ‘see’ or ‘ hear’ from neural activity such as EEG and fNIRS.
This PhD will investigate novel machine learning techniques to develop a new type of BCI that has the potential to be both highly intuitive and allow greater levels of accuracy and communication speed than possible with current BCI. This will result in a semantic BCI, which will be built based on simultaneous recording of EEG and fNIRS.
Further information on how to apply can be found here.
Deadline: Friday 23 February 2018
The deadlines for applications vary, so please check the universities website. An online application form will also be available via the University website: