Research Fellow, School of Electronics, Electrical Engineering and Computer Science
1 day left
- Full Time
Application closing date 28/05/2019
Salary £33,199 - £39,610 per annum (potential to progress to £43,266 per annum through sustained exceptional contribution)
Job category/type Research
The Centre for Data Science and Scalable Computing is seeking to recruit two Research Fellows for 15 months available immediately to carry out research on transprecise computing.
The successful candidates will contribute to the Horizon 2020 FET-Proactive project OPRECOMP, which aims to replace the ultra-conservative "precise" abstraction for computing with a more flexible, precision-aware abstraction that admits dynamic adaptation of precision in order to improve the performance and energy-efficiency of computations. We aim to discover the fundamental principles that underpin 'anytime' applications, which can incrementally improve the precision of the computation much like how JPEG images are incrementally displayed with higher precision. We desire to define programming language and runtime system support that enables domain specialists to write portable transprecise applications.
We are seeking two candidates to join this effort in the areas of:
- Programming models and runtime systems, embedded systems design, power and performance characterisation, or power management.
- Relevant application domains such as machine learning, data science, databases and scientific computing.
The successful candidates will be a member of the Centre for Data Science and Scalable Computing (DSSC), within the Queen's Global Research Institute on Electronics, Communication and Information Technology (ECIT). The successful candidates will join a vibrant research group of 25 researchers at all career stages, underpinned by a GBP 10m research grant portfolio and a state of the art computing systems research facility. They will have access to world class teaching and research facilities and opportunities to work with vibrant engineering and commercial teams to translate their research to impact.