Deadline: 26/02/2024
Lecturer/Senior Lecturer in Distributed Computing
Lecturer/Senior Lecturer in Emerging Computing Technologies
Lecturer/Senior Lecturer in High Performance Computing
Lecturer/Senior Lecturer in Programming Languages & Compilers
We are 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:
Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria please check the recruitment web page.
This post is available on a fixed term contract for 33 months.
We are recruiting a post-doctoral researcher or research assistant with expertise in parallel computing and GPU programming to work on the RAPID project, looking at real-time analytics in manufacturing.
Closing date is 6 December 2023.
Advert: https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=697817LSP2&WVID=6273090Lgx&LANG=USA
We are seeking to recruit a an excellent PhD candidate on the project “SWEET: Hardware and Software for Sustainable Wearable Edge InTelligence”, seeking to optimise performance and energy efficiency of machine learning inference in response to time-varying conditions.
Interested applicants can apply here: https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/optimising-speed-energy-and-quality-of-machine-learning-models-with-transprecise-computing.html
We have 3 recruitment opportunities in a Marie Curie Doctoral Training Network on data analytics. These are PhD opportunities with a research assistant contract:
(1) Application-Aware Relaxed Synchronisation for Distributed Graph Processing, (offered)
(2) Interactive and intelligent exploration of big complex data, (offered) and
(3) Efficient and Responsible Analytics for Urban Mobility and Allied Applications (offered).
Application Deadlines
7 May 2023
RELAX Doctoral Network
The RELAX Doctoral Network brings together 5 cross-disciplinary research groups working across data science, data management, distributed computing and computing systems to pursue a fundamentally new approach to this problem by leveraging the semantics or correctness conditions of applications, with the goal of enhancing scalability, response times, and availability. The Doctoral Network provides a bespoke technical and non-technical training programme and fosters cross-disciplinary and third-party collaborations.
Funding Information
This project is funded by the Engineering and Physical Sciences Research Council grant number EP/X029174/1.
To be eligible for consideration for a RELAX Doctoral Candidate position (covering tuition fees and a basic salary with pension of approx. £33,001 per annum), a candidate must satisfy all the eligibility criteria based on transnational mobility and academic qualifications. The Studentship is open to all nationalities.
Applicants MUST be doctoral candidates, i.e. not already in possession of a doctoral degree at the date of the recruitment (understood as the recruitment call deadline) and undertake transnational mobility (see mobility rule below). Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible.
Mobility Rule
Researchers must not have resided or carried out their main activity (work, studies, etc.) in the United Kingdom for more than 12 months in the 36 months immediately before their date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.
Academic Requirements
The minimum academic requirement for admission is normally an Upper Second Class Honours degree from a UK or ROI Higher Education provider in a relevant discipline, or an equivalent qualification acceptable to the University.
More Information
Applicants may additionally consider applying to positions with the partner universities of the network: http://www.relax-dn.eu/