Snabbfakta
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- Midlothian
Ansök senast: 2024-09-01
Research Associate in Continual Machine Learning at the Edge
Grade UE07 - £39,347.00 - £46,974.00 Per Annum.
CSE / School of Informatics.
Fixed Term Contract - Temporary Until 31 August 2026.
Full Time - 35 Hours Per Week.
The School of Informatics at the University of Edinburgh is inviting applications for a Research Associate in Machine Learning and Artificial Intelligence with a particular focus on method development for Edge Devices, Scenarios and Environments. The successful candidate will be directly working with Amos Storkey (Principle Investigator) in the School of Informatics, and Elliot Crowley (co investigator) in the School of Engineering. The post will be based in Informatics.
The Opportunity:
Machine Learning (ML) has a dramatic impact on our daily lives. The explosion in ML, however, is built on the back of the development of computer systems able to train and deploy ever more powerful models.
Systems design fundamentally determines ML performance and capability. This is true for internet-scale ML and artificial intelligence (AI). Yet, more recently, it is especially evident in distributed, device-oriented, specialised and potentially mobile systems. These more distributed “edge” settings provide many important challenges for the development of ML methods – methods must be able to be efficient, robust, online, adaptive, personalised, secure and private. This is the challenge this project addresses. One key component of this is continual learning - the need for devices to adapt to their environment.
We seek candidates to join the dAIEdge project and network grant – working towards the development of machine learning and AI methods for edge devices. This would be suitable for machine learning or machine learning systems researchers in computer science, engineering, or from other disciplines. The successful candidate will have a strong machine learning portfolio, and a knowledge of computer systems. The researcher will engage in cutting edge research in the field, and develop strong networking across Europe in the AI Edge arena.
The University of Edinburgh component of the Horizon project dAIEdge is led by Amos Storkey (Informatics) and Elliot J. Crowley (Engineering) and involves many other academic institutions and key companies across Europe. The successful candidate will be based in the Informatics Forum, in central Edinburgh.
is one of the largest research centres in Computer Science in Europe, and it has been in terms of research power by a large margin. Informatics, Edinburgh is world renowned in Machine Learning, publishing in all the top venues in these fields. We are offering an exciting opportunity to work in an interdisciplinary, collaborative, friendly, and supportive environment, integrating different sub-fields of within Artificial Intelligence.
We welcome both local (UK-resident) and international applicants. This position will include funding for international travel – e.g., for attending conferences, visiting research collaborators, and disseminating research findings. Furthermore, the researcher will have access to the computing infrastructure and office spaces available within Informatics and the research groups.
We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from under-represented groups in the field.
This post is full-time (35 hours per week), available immediately with a fixed term end date (grant ends 31st August 2026)
Your skills and attributes for success:
The following desirable criteria will be evaluated by the level of proficiency. Recruitment will aim at selecting those candidates with the best possible performance in these criteria.
Desirable knowledge, skills, and experience are:
Feedback will only be provided to interviewed candidates.
