The University of Cambridge seeks two Research Associates to join an ambitious research programme in machine learning for astronomical imaging, led by Dr. Miles Cranmer (DAMTP/IoA) and Professor Vasily Belokurov (IoA).
The role focuses on developing novel AI methods for detecting and characterising low surface brightness features in wide-field imaging and scaling these methods to forthcoming surveys. You will design and build the software stack for large survey data, spanning pipelines, training
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ML Research Associate: Astronomical Imaging in Cambridge employer: University of Cambridge
The University of Cambridge offers a dynamic and collaborative work environment, particularly within the Department of Oncology, where you will play a pivotal role in advancing cancer research. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work alongside leading experts in the field. The university's commitment to innovation and excellence ensures that your contributions will have a meaningful impact on clinical care and research outcomes.
