Research Associate in Continual Machine Learning at the Edge
2024-07-03 Edinburgh
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.
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.
The School of Informatics is one of the largest research centres in Computer Science in Europe, and it has been ranked #1 in the UK 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.
