Machine Learning for EEG Signal Modelling PhD studentship
The University of Hertfordshire invites applications for a three-year, full-time PhD studentship available from May 2020, within the Communications and Intelligent Systems Research Group. Find out more about the group's research.
We welcome the opportunity to support a PhD in research towards Machine Learning (ML) for EEG signal modelling. The PhD project will focus on using state-of-the-art Machine Learning methodologies, including Deep Learning, for modelling of multidimensional EEG signals and Brain Network Analysis. The conducted research will require the usage of the mathematical and signal processing background such as Linear Algebra, Statistical Signal Modelling, Graph Theory and Machine Learning, used in different development environments like TensorFlow-Keras and/or C/C++ and/or Matlab.
Start date: March 2020
Duration: 3 years
The studentship is available to both International and UK/EU applicants and provides a bursary of approximately £15,009 in 2019/20 and the two following years, together with payment of fees (£13,250 for international or £4975 for UK/EU applicants).
Applications are invited from individuals with a 1st or 2:1 in a relevant engineering or related scientific discipline. A Master’s degree or equivalent industrial experience would be desirable. We are seeking applicants with a good understanding of Machine Learning algorithms and/or EEG signal processing and strong analytical and programming skills. Prior research experience in the application of Machine Learning algorithms to EEG signal processing would be an advantage.
Please download and complete an application form. obtained from the following link:
Your completed application should be emailed to email@example.com. You must also include with your application (in the section 11 personal statement/further information section of the application form) a 500 word summary indicating your motivation for wanting to undertake this PhD project and a brief outline of your initial thoughts on the topic of research.
Closing date for applications: 31 March 2020
Interview dates: first week of April 2020
Expected studentship start date: 1 May 2020 or as soon as possible thereafter