We recently hired two more Research Software Engineers (RSEs) (including Bob Turner, who started last week) but are already looking for another teammate!
If so, this new vacancy may be of interest.
Initially, you will work on at least two projects:
Developing, testing, profiling and optimising high-performance parallelised software (MPI, OpenMP or CUDA) relating to computational methods for biomedical applications. Working with project partners there is the opportunity to deploy codes on international HPC infrastructure.
This will also involve investigating how such software can be deployed on cloud computing infrastructure (e.g. AWS, Azure, GCP etc) to support research on the CompBioMed2 EU project.
An example of the kind of application that needs further development, testing and deployment is pFIRE, which is a library for elastic image registration. This warps related images to achieve maximal correlation, which for MRI scans could compensate for deformation of the patient between images. The software was developed in modern C++ by a former member of the RSE team and uses PETSc to distribute matrix/vector data and operations between MPI ranks.
Providing research computing support (software development and training/advice relating to software development, the use of HPC and data workflows) to the INSIGNEO institute for in-silico medicine.
Quite a number of INSIGNEO’s researchers have non-trivial research computing needs due to them working with high-resolution medical images (e.g. MRI, CT) and sensor datasets, needing to apply expensive transformations to that data and needing to create and solve high-resolution finite element/finite difference
There is also time allocated for working on and (possibly developing) other projects and training relating to high-performance computing and software engineering. For example, you could develop and deliver workshops on how to parallelise a workflow using OpenMP or joblib.
The post provides an excellent opportunity for research software skills development. You will actively support the wider community of research software developers and will be encouraged to represent the team in national/international activities. For example, current team members are/have been:
We are a supportive group that values further development of our members and we support each others through the diversity of our members’ skills and experiences.
Educated to PhD level (or be close to completion) in a computationally based field or having equivalent industry experience, you will have a track record of software development. For example, you might have:
Applications are welcome from both software development generalists and from RSEs with interdisciplinary technology-focused skills which either complement or extend our existing portfolio e.g. data analytics (including statistical computing, machine learning and deep learning), numerical computing, HPC (including multi-core and GPUs), etc.
The post is open-ended (subject to funding).
The closing date is the 4th October.
Please do get in touch via
if you want to discuss any aspect of the role before applying!
For queries relating to collaborating with the RSE team on projects: email@example.com
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