Position Overview & Specifications
This role will support the application of computational modelling using exascale computing by assisting in the re-development of core algorithmic components of the Nektar++ spectral/hp element framework. This position will investigate the role of high-performance computing and exascale technology, in creating an efficient and flexible programming framework for high-order spectral element methods with a particular focus on compressible flow simulations
You will drive the programming and development of high-order spectral/hp element methods and solver technology, suitable for exascale platforms, that are required to meet a range of challenging problems in the aerospace and energy sectors. These will be implemented in the Nektar++ framework (www.nektar.info). You will also have the opportunity to engage with a number of world-leading partners through the Nektar++ community.
Duties and responsibilities
- Develop efficient software algorithms and implementations for high-order spectral/hp element methods for compressible flows on high-performance parallel computing platforms within Nektar++.
- Collaborate closely with other members of the Nektar++ team
Essential requirements
- Practical experience within a research environment and / or publication in relevant and refereed journals
- Experience of dealing with other researchers, engineers or physicists
- Practical experience of collaborative software development using C++
- Knowledge of modern C++ language and template meta-programming
- Knowledge of software-development best practices
- Knowledge of parallel programming using MPI
- Knowledge of high-order spectral/hp element methods
- Knowledge of compressible flow research methods
Those appointed at Research Associate level
Hold a PhD (or equivalent) in Computer Science, Engineering or a closely related discipline.
Those appointed at Research Assistant level
A first / masters degree (or equivalent) in Computer Science, Engineering or a closely related discipline.
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
Further information
Should you require any further details on the role please contact Spencer Sherwin s.sherwin@imperial.ac.uk
For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk
The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
Documents- Job Description Research Assistant - Associate ENG02482.pdf