Application deadline: 30th November 2016
The INSIGNEO Institute for in silico Medicine is an initiative between the Faculty of Engineering and the Faculty of Medicine at the University of Sheffield and the Sheffield Teaching Hospitals Foundation Trust. INSIGNEO intends to realise the scientific ambition behind the Virtual Physiological Human, producing a transformational impact on healthcare. While recently established, INSIGNEO is already considered one of world-leading institutions in the area of in silico medicine research.
This is an excellent opportunity for an individual with experience of development and deployment of Computational Science and Engineering software tools on High Performance Computing platforms with application to research in the multiscale modelling of human physiology and pathology. The development activities are part of a three-year programme to establish a European Centre of Excellence (CoE) in High Performance Computing (HPC) to advance the role of computationally based modelling and simulation within biomedicine. The University of Sheffield will contribute to this CoE in partnership with 14 collaborating institutions, including 3 SMEs and 3 enterprises.
The post holder will support the deployment of existing single- and multi-scale simulation tools over a range of HPC platforms, including the use of workflow management software, to provide efficient simulation tools for end-users from the academic, clinical and industrial sectors. The scope of the research will include applications in both the cardiovascular and neuro-musculoskeletal clinical domains.
The post holder will work on this project, under the supervision of Professor Viceconti, internationally recognised expert in multiscale modelling, and Dr Andrew Narracott, expert in cardiovascular solid and fluid mechanics. He/she will contribute to deployment of software tools on local, national and European HPC infrastructures in collaboration with other INSIGNEO researchers responsible for development of the underlying modelling tools. The candidate should demonstrate the ability to manage complex projects within multi-disciplinary teams.
The post holder will require a PhD (or be close to completion) in Computer Science, Engineering, Physics, or related disciplines or have equivalent industrial experience as well as excellent programming and software development skills, with Experience in C++ and Python programming. Experience of software deployment on High Performance Computing platforms and experience of biomedical or engineering software projects are also essential.
More information can be found here