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 research assistant associate


Research Assistant / Associate in Machine Learning for Imaging at Imperial College London

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The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2021 Research Excellence Framework (REF) assessment, the Department was ranked 1st out of all UK Computer Science departments and was rated as "Excellent" in the previous national assessment of teaching quality. Imperial was also awarded "Gold" according the last Teaching Excellence Framework (TEF) 2017. The Biomedical Image Analysis (BioMedIA) group is a friendly, vibrant, multi-national team of around 50 academics, post-doctoral researchers and PhD students, pursuing research on novel computational techniques for the processing and analysis of biomedical images. Topics of interest are image registration, reconstruction, segmentation and modelling.


Research Assistant /Associate in Image Informatics

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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success. We are delighted to be seeking a motivated individual to join our project, in the School of Computing.


Research Assistant/Associate in Machine Learning (Fixed Term) at University of Cambridge

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We are seeking a Research Assistant / Associate to join the Toyota-Cambridge Centre for Next Generation AI, a unique and significant research partnership between the Department of Engineering at the University of Cambridge and Toyota Motor Corporation which is developing new fundamental tools for machine intelligence and machine learning. The position will lead the Cambridge-Toyota-Future Prediction project which will develop methods for predicting future events and environmental changes drawing on a range of approaches such as predictive modelling, novelty detection, change-point detection, self-supervised learning, deep learning, online learning, continual learning and meta-learning. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering at the University of Cambridge (http://mlg.eng.cam.ac.uk/), and will be supervised by Prof. The project will receive additional supervision from Dr. Daniel Olmeda Reino and Dr. Rahaf Al Jundi from Toyota Motor Europe. The programme is funded by a research contract with Toyota Motor Corporation.