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Parallel simulations in statistical physics

  • Full or part time
  • Application Deadline
    Monday, March 18, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Population annealing is a sequential Monte Carlo scheme applicable to studying systems in statistical, condensed matter and biophysics that is potentially able to make use of highly parallel computational resources as provided by petaflop and future exaflop machines.

Additionally, it promises the accelerated simulation of systems with complex free-energy landscapes such as spin glasses, biopolymers and optimisation problems. This research project is geared towards gauging the potential of this exciting new method and to developing it further to adapt it to a variety of applications. This includes the study of optimised schemes for choosing the simulation parameters such as the population size, sweep and temperature protocols, the adaptation of the methods to new ensembles and underlying basic simulation techniques. Additional aspects involve assessments of the relative performance with respect to more traditional techniques and the development of estimation methods for statistical and systematic errors.

This exciting research project is being conducted with expertise from both Coventry University and the University of Leipzig, Germany The doctoral researcher will spend time at each institution and will be co-supervised by Martin Weigel (Coventry University) and Wolfhard Janke (University of Leipzig).

Coventry University

Coventry University has been voted ‘Modern University of the Year’ three times running by The Times/Sunday Times Good University Guide. Ranked in the UK’s top 15 (Guardian University Guide), we have a global reputation for high quality teaching and research with impact. Almost two-thirds (61%) of our research was judged ‘world leading’ or ‘internationally excellent’ in the Research Excellence Framework (REF) 2014.

Training and Development

- The candidate will work with our extensive High-Performance Computing (HPC) facilities, including a GPU enabled 3000-core cluster

- 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 criteria for applicants to PhD

• 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.
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)

For further details see:

How to apply

Apply on line submitting full supporting documentation, and covering letter only.

Eligibility: UK/EU graduates with the required entry requirements

Start date: May 2019

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

Funding Notes

Possible fully-funded studentship available (up to £15,000 stipend and fee waiver)

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