abstract of neural networks

Detecting epilepsy and Alzheimer's with energy landscape and information geometric theory

Eligibility: UK/International (including EU) graduates with the required entry requirements

Duration: Full-Time – between three and three and a half years fixed term

Application deadline: 1 March 2024 

Interview date: Will be confirmed to shortlisted candidates

Start date: September 2024

For further details contact: Professor Eun-jin Kim


Have you ever wondered how brains work? Unfortunately, 1/6 of the total UK population live with some form of neurological conditions. The two notorious examples are Alzheimer’s disease (AD) which is a progressive degenerative disease, affecting 5-8% of the population of over 60 worldwide and epilepsy that affect 50 million people at any given time, with their incidences increasing every year. Early diagnosis of these diseases is vital to promote early and optimal management.

Details of the PhD project

Applications are invited from ambitious and self-motivated candidates to work on an exciting interdisciplinary project of a novel brain network with the main aims of modelling and detecting AD and epilepsy.

The project will involve computational modelling (using software like python, matlab) and performing statistical analysis of the EEG data by using information theory, statistical physics, and energy landscape.

The project is funded by Interdisciplinary Exceptional Awards for Studentships (IdEAS) at Coventry University. The Supervisory team includes Prof Eun-jin Kim at the Centre for Fluid and Complex Systems (FCS) and Dr Fei He at the Centre for Computational Science and Mathematical modelling at Coventry University (CSM). FCS and CSM are pushing back research boundaries and delivering real-world solutions to complex fundamental and applied challenges.


Tuition fees, stipend, and additional allowances.


The successful candidate will receive comprehensive research training including technical, personal and professional skills.

All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. 

Candidate Specification

  • A bachelor’s (honours) degree in a Mathematics/Statistics, Engineering, Automotive, Computer Science or a related discipline with a minimum classification of 2:1 and a minimum mark of 60% in the project element (or equivalent), or an equivalent award from an overseas institution.


  • the potential to engage in innovative research and to complete the PhD within 3.5 years
  • An adequate proficiency in English must be demonstrated by applicants whose first language is not English. The general requirement is a minimum overall IELTS Academic score of 7.0 with a minimum of 6.5 in each of the four sections, or the TOEFL iBT test with a minimum overall score of 95 with a minimum of 21 in each of the four sections.

 For further details please visit:  https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/research-entry-criteria/


How to apply

To find out more about the project please contact Professor Eun-jin Kim.

All applications require full supporting documentation, and a cover letter  and an up-to 2000-word supporting statement is required showing how the applicant’s expertise and interests are relevant to the project. 

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