We are seeking a highly qualified individual with a minimum 2.1 honours degree in the physical or mathematical sciences and a PhD (or near completion) in the physical sciences (preferably computational statistical physics) or statistics.
The ideal candidate will have proven ability in research and evidence of quality research output in the relevant field. This includes Monte Carlo sampling and/or the simulation of systems governed by stochastic or deterministic differential equations (in the physical sciences or Bayesian computation). You will have sufficient breadth or depth of specialist knowledge across the discipline and of its principal research methods and techniques. You will be fluent in at least one scientific programming language such as Python, C++ or Fortran.
You will be able to work collaboratively and effectively with academic and administrative colleagues, both within and outside the University. You will contribute to the life and community of the School through various duties, such as supporting offer holder days and outreach activities, which may occasionally require weekend work.
Strong communication skills including the ability to communicate effectively in English, both verbally and in writing is essential.
Organised, self-motivated and technically adept, you use IT confidently to prepare papers, presentations and technical documentation. You manage your time well, engage constructively with the wider academic community and bring an inclusive and professional approach to your work.
For details on the experience and skills required, please refer to the
PhD Status
If you are near submission of your PhD, or have not yet had it conferred, any offers of employment will be made at Research Assistant level, at the highest spinal point of pay grade 5 (£34,610 per annum).
Upon receipt of evidence confirming the successful award of your PhD, you will be promoted to Research Fellow, at the lowest spinal point of grade 6 (£35,608 per annum).
