• University of Stirling Featured PhD Programmes
  • University of Southampton Featured PhD Programmes
  • Staffordshire University Featured PhD Programmes
  • University of East Anglia Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Manchester Featured PhD Programmes
  • Northumbria University Featured PhD Programmes
  • Queen’s University Belfast Featured PhD Programmes
University of Warwick Featured PhD Programmes
University of Leeds Featured PhD Programmes
ESPCI Paris Tech Featured PhD Programmes
University of Huddersfield Featured PhD Programmes
University of Sheffield Featured PhD Programmes

PhD Studentship in Accelerated Kinetic Monte-Carlo Method Development for Modelling Heterogeneous Catalysts

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr M Stamatakis
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Vacancy Information

The main purpose of this role is to develop innovative methods and algorithms to accelerate kinetic Monte-Carlo (KMC) simulations of reactions on catalytic surfaces. A challenge in KMC simulation is that certain frequent events dominate the computational effort. Yet, after rapidly reaching quasi-equilibrium, their frequent execution is unnecessary, as they are anyway limited by slower events. In this PhD Studentship we will develop innovative algorithms that will employ reliable error estimates, robust mathematical approaches and optimisation techniques, to improve simulation efficiency incurring a small quantifiable error in the observables of interest.

Person Specification

The person appointed will have the essential skills, abilities, personal attributes and experience listed below. In your application, you should demonstrate how you meet the person specification, using examples.


Related Subjects

How good is research at University College London in General Engineering?

FTE Category A staff submitted: 53.70

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

Cookie Policy    X