Molecular Dynamics Simulations of Graphene-Protein interactions for Biomedical Diagnostic Sensors

Applications are invited for a 3.5-year MPhil/PhD studentship. The studentship will start on 1 October 2021.

To apply please use the online application form. Simply search for PhD Mathematics and Statistics, then clearly state that you are applying for a PhD studentship within Health and Medical Technologies and name the project at the top of your personal statement.

Online application

Take a look at the Doctoral College's general information on applying for a research degree.

Project description 

Fundamental understanding of protein dynamics, energy landscape and conformational changes, is central to deeper insights into a protein’s specific biochemical functions (such as allosteric signalling, enzyme catalysis etc.). This could aid in drug discovery, novel protein engineering and distinguishing between normal and pathogenic conformational changes for disease diagnostics applications. In this project we aim to investigate a novel approach for the detection of protein dynamics and interactions on the surface of Graphene (and related two-dimensional materials, G2DM) through direct comparison of Molecular Dynamics Simulations (MDS) with experimental results obtained from our G2DM based sensors developed at the University of Plymouth in collaboration with the University of Cambridge. 

For the MDS we will employ the Kohn–Sham (KS) formalism of the density functional theory approach to perform the in-silicio study of the graphene-protein system. The KS approach has proven to be one of the most efficient and reliable first-principles methods for investigating material properties and processes that exhibit quantum mechanical behaviour. The pioneering nature of this research will enable the student to use BigDFT massively parallel electronic structure code to simulate the graphene-protein sensor, based on the High Performance Computing Cluster at the University of Plymouth, as well as making comparisons with cutting-edge experimental measurements. Accurate comparisons between MDS and experimental results has the potential to lead to a breakthrough in our understanding of protein dynamics and conformational states, thus opening a plethora of applications in diagnostics, prognostics and therapeutics particularly for Alzheimer’s, cancer and cardiovascular diseases.


Applicants should have (at least) a first or upper second class honours degree in an appropriate subject and preferably a relevant MSc or MRes qualification. A solid training in quantum mechanics, solid-state physics and scientific programming using a language such as python, C or Fortran is essential. Some experience in practical experiments and data analysis is desirable. 

The studentship is supported for three and a half years and includes full home tuition fees plus a stipend of £15,609 per annum (2021/22 rate). The studentship will only fully fund those applicants who are eligible for home fees with relevant qualifications. Applicants normally required to cover international fees will have to cover the difference between the home and the International tuition fee rates (approximately £12,697 per annum).

If you wish to discuss this project further informally, please contact However, applications must be made in accordance with the details shown below.

General information about applying for a research degree at the University of Plymouth and to apply for this position please visit:

Please mark it FAO Doctoral College and clearly state that you are applying for a PhD studentship within the School of Engineering, Computing and Mathematics.

For more information on the admissions process email the Doctoral College,

The closing date for applications is 19 April 2021. Shortlisted candidates will be invited for interview the week beginning 3 May 2021. We regret that we may not be able to respond to all applications. Applicants who have not received an offer of a place by 31st May should consider their application has been unsuccessful on this occasion.