Last Date: 08/01/2024.
The Centre for Data Science and Scalable Computing in the School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow.
The post holder will 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 must have, and your application should clearly demonstrate that you meet the following criteria:
- Normally 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.
Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria please click on the Candidate Information link below.
This post is available on a fixed term contract for 33 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.
The successful candidate will be a member of a vibrant research group on Data-Intensive Parallel Systems and Algorithms (DIPSA, https://blogs.qub.ac.uk/dipsa/) with currently two post-doctoral researchers and 10 PhD students. The group broadly investigates challenges in high-performance graph processing and the principles of transprecise computing.
The SWEET project is a collaboration between Queen’s University Belfast, University College Dublin (Ireland) and Virginia Tech (USA) funded through the tri-partite US-Ireland scheme. The grant also provides funding for a PhD student. The successful candidate will collaborate remotely and in-person with the investigators Dr Deepu John, Prof Dimitrios S. Nikolopoulos and Dr Bo Ji, and their students and post-doctoral researchers.
At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.
Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.
We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion please visit: www.qub.ac.uk/diversity; www.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/
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