We are seeking a creative and broad-skilled Research Associate with a computational background to work on an exciting interdisciplinary project to develop exascale codes as part of the ExCALIBUR programme. You will contribute to extending the state-of-the-art numerical simulation code ExaHyPE with bespoke multigrid capabilities for the solution of elliptic equations to drive new science in astrophysics and fluid dynamics.
You will play a vital role in an ambitious research programme into novel algorithms and optimised implementations for future supercomputers. By working with external academic partners and hardware vendors, the project will explore both mathematical aspects such as higher-order discretisations in time and space, and low-level code optimisation to make optimal use of modern chip architectures. The overall project will be led by Prof. Tobias Weinzierl (Durham). As part of the Bath team led by Dr Eike Mueller, you will coordinate your work with researchers and computational specialists in Durham and the wider ExCALIBUR community.
About you:
You must have a PhD (or equivalent qualification) in Mathematics, Physics, Computer Science or a related field.
You should be passionate about the development and implementation of numerical algorithms and have demonstrable research experience in finite element analysis or iterative solvers for sparse linear systems. Since the project aims to extend the ExaHyPE code, a solid knowledge of C++ or a similar high-level language (ideally demonstrated by contributions to collaborative software projects) is essential. The ideal candidate will also have knowledge of multigrid methods, higher-order Galerkin discretisations and parallel computing.
We are keen to further increase the diversity of the project team and strongly encourage members of underrepresented groups to apply.
About us:
As a member of the project team, you will join the research group in Numerical Analysis and Data Science in the Department of Mathematical Sciences. The group includes more than a dozen academics and several PhD students, with expertise in scientific computing, differential equations, numerical linear algebra, machine learning and inverse problems.
The Department itself has over 70 academic staff representing all areas of Mathematics. Our Department emphasises the unity of Mathematics and there are strong interactions between research groups. This interaction is supported by the Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), which currently employs a large number of PhD students, with an annual intake of 10-20 research students. The Department is committed to providing a supportive research environment, aiming to bring about positive cultural change in diversifying recruitment of early-career academics.
Further information:
This position is for a fixed-term period, beginning in February 2023 (or as soon as possible thereafter) and with funding guaranteed until November 2024.
While working on the project, you will have the opportunity to develop valuable skills in scientific computing and network with members of the ExCALIBUR programme and the wider scientific community.
For further information and an informal discussion about the role please contact Dr Eike Mueller (e.mueller@bath.ac.uk), however, please submit your application via the University website including:
- an up-to-date curriculum vitae, including list of publications
- a one-page research statement describing your experience in the research areas relevant to the position and how you intend to contribute to the project.
- the names and contact details of two academic referees
