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Machine Learning for EEG Signal Modelling


Project Description

Applications are invited for a three-year, full-time PhD studentship available from April 2020, within the Communications and Intelligent Systems Research Group at the University of Hertfordshire. For further information on the group’s research visit:

http://go.herts.ac.uk/iosif_mporas

Outline of the Project:

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.

Informal enquires can be made to Dr Iosif Mporas () or to Dr Pandelis Kourtessis (), Director of the Centre for Engineering Research.

Description of the University:

The University of Hertfordshire (UH) is based in Hatfield only a short (30 minute) train journey from central London. According to the UK-wide Research Excellence Framework 2014 over 85% of the submitted research at the UH was judged to be internationally excellent. The University of Hertfordshire is ranked among the Top 600 world universities according to the ‘Times Higher Education World University Rankings 2016’ and was awarded TEF Gold in 2018.

Applicant Requirements:

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.

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).

How to Apply:

Please download and complete an application form obtained from the following link:
http://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-form.pdf

Your completed application should be emailed to the email address below. 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.

Please also send with your application a brief research proposal not exceeding 2 pages.

Doctoral College Admissions email:

Closing date for applications: Position will remain open until filled .
Interview dates: TBC
Expected studentship start date: 1st April 2020 or as soon as possible thereafter.

Funding Notes

Annual tax-free bursary of approximately £15,009, plus tuition fees (£4975 for UK/EU or £13,250 for International applicants).

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