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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe role involves developing a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is part of an international collaboration between Queen Mary University of London and Kyushu University, Japan, funded by the Royal Society International Science...
Postdoctoral Research Fellow
2 months ago
About the Role
Queen Mary University of London is seeking a highly skilled Postdoctoral Research Assistant to support a EU H2020 funded project in the MMV group led by Prof Ebroul Izquierdo. The successful candidate will contribute to the production of deliverables, represent the university in project meetings, and perform R&D in machine learning for plant species classification.
About You
Applicants must have a PhD in Electronic Engineering or Computer Science and significant experience in EU funded projects. Expertise in Machine Learning Technology and Computer Vision is required for this position.
About the School of EECS
The School of Electronic Engineering and Computer Science at Queen Mary University of London is a multidisciplinary institution known for pioneering research and world-class projects. Our researchers collaborate with various fields, including psychology, biology, music, and mathematics.
About Queen Mary
At Queen Mary University of London, we value diversity and inclusivity, fostering social justice and improving lives through academic excellence.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum, and a range of work-life balance and family-friendly policies.
