Given our team's existing research skillset in novel machine learning approaches, we are recruiting a team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on realising SONNETS' ambitious objectives.
Researchers on our team contribute towards:
- Architect event-triggered compute stacks using industry-standard orchestration tools (e.g. Kubernetes and container workflows), and to engineer loading strategies for managing highly-irregular flows of data from many sources.
- Develop approaches to model the performance of the aforementioned event-triggered systems, and to use these models to optimise SONNETS architectures.
- Collaborate with artificial intelligence model designers in Southampton and at our partner institutions to support your research, which will be disseminated through publications, seminars, conference presentations, public engagement, and ultimately through a proof of concept implementation for the Bank of England.
SONNETS is an interdisciplinary project; we are open to work with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as well as others with related experience that can be applied to further the objectives of this project.
The post will be full time until the end of December 2028.
By applying, you are agreeing that we can share your information with project partners. In your application, please provide a CV and cover letter detailing how you meet the essential and desirable criteria on the Job Description & Person Specification.
Generative artificial intelligence (GenAI) must not be used to generate any component of your application. In turn, your application will not be reviewed using GenAI. Appropriate GenAI use is welcome in the prosecution of the project itself.
This position is open to both hybrid and in-person working arrangements.
For informal enquiries: please contact Dr Mark Vousden (m.vousden@soton.ac.uk). You can find more information on the SONNETS project on our website at https://sonnets-project.org/ and on the UKRI Gateway to Research Website, at https://gtr.ukri.org/projects?ref=EP%2FX036006%2F1.
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