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The School of Computing & Engineering is seeking to appoint a talented and enthusiastic Research Assistant who will be affiliated with its Data Science & Intelligent Systems group. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research results in prestigious venues.
The researcher will join the EU-funded ARTEMIS project, under the direction of Prof Hamid Bouchachia, working towards the development of machine learning and AI methods with application in the medical field. The position will be suitable for any master’s degree first-degree in ML and AI.
The successful candidate will investigate and develop federated learning algorithms for both scalable and privacy-guaranteed clustering and classification. The focus is mostly on longitudinal multimodal data (involving imaging, clinical, biology and multi-omics data), where representation learning and multi-modal data fusion are of key importance. The exact boundary of the research work will cover any of the listed aspects in a way to contribute to the delivery of the project by conducting relevant research leading to publishable outputs.
The role of the Research Assistant is to contribute to the delivery of the project in terms of planning, designing, and conducting research leading to published outputs and exploitable results.
The researcher will have access to funding for international travel, e.g., for attending conferences, attending the consortium meetings, and research dissemination, while working in a supportive, collaborative, inclusive and non-discriminating working environment. We welcome candidates from all backgrounds to apply.