"Research Fellow"

We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute to the research project “Sustainable Wearable Edge InTelligence (SWEET)”.

The successful candidate will develop theoretical concepts in transprecise computing in the application domain of health analytics using machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage the concepts of transprecise computing to achieve the target constraints on performance, timeliness, power consumption and accuracy and undertake research under supervision within the SWEET research project.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:

• Have, or be about to obtain, a relevant PhD. Relevant areas include high-performance computing, middleware and computing systems.
• Recent relevant research experience to include:
• Undertaking research in the area of high-performance / distributed / parallel computing or middleware
• A proven track record of using experimental models to carry out analyses, critical evaluations, and interpretations of experimental data as relevant to the research project
• Working effectively as part of a research team in the development and promotion of the research theme
• Strong publication record commensurate with stage of career.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

This post is available for 18 months. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

What we offer:

Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/.

Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

For further information on our commitment to Equality, Diversity and Inclusion, please visit http://www.qub.ac.uk/diversity.