Novel stochastic modelling of molecular motors and implications for cardiac function/disease

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

Funding details: Bursary plus tuition fees (UK/EU/International)

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

Application deadline: 1st March 2021

Interview dates: Will be confirmed to shortlisted candidates

Start date: September 2021

For queries please contact Prof Eun-jin Kim.

GCRF PhD Studentships

This is a GCRF fully-funded PhD studentship.

See the full list of available opportunities

Introduction

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship within the Centre for Fluid and Clomplex Systems.

Project details

Applications are invited from ambitious and self-motivated candidates to study non-equilibrium statistical physics.

With ever improved high-resolution data, fluctuations have emerged to be universal, playing a crucial role in many disciplines. Whilst large amplitude fluctuations only occur rarely, the can have a significant impact as, for example, with tornado and the stock market.

These large fluctuations are one of the characteristics of non-equilibrium systems.

Understanding and predicting large fluctuations requires a probabilistic approach, as exemplified in non-equilibrium statistical physics. Non-equilibrium statistical mechanics has recently attracted a great deal of attention, not only as a research topic but also for its success in practical applications. In particular, non-equilibrium statistical physics on small-sized objects of the order of 1-100 nano-metres is a rapidly growing field with applications to emerging nano-technology.

This project aims to investigate novel  non-equilibrium phenomena at the  nano-scale in nature (e.g. molecular motors, Brownian ratchets, etc.) to improve our understanding of the emergence of various transport processes in noisy environments, and the basic mechanisms which make them efficient. This will involve learning theory and methods and as well as undertaking computer simulations.

The Supervisory team includes Prof E. Kim at the Centre for Fluid and Complex Systems and Prof D. Foster at the Centre for Data Science at Coventry University.

Funding 

This is a fully-funded studentship including full tuition fees (UK/EU/International) plus stipend (based upon the applicable UKRI rate at the point of the award) and additional allowances.

Benefits

Training and Development

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. 

Entry requirements

  • A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. 
    PLUS 
    the potential to engage in innovative research and to complete the PhD within a 3.5 years
  • a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)

How to apply

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

All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.

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