Postdoctoral Researcher in Machine Learning for Galaxy Morphology
hace 4 semanas
Research Opportunity
An international joint research program is seeking an astrophysicist to join a 2-year phase to explore the application of machine-learning techniques to improve our understanding of galaxy morphology.
Project Overview
The project aims to develop and apply novel deep learning techniques to study the morphology of galaxies in different environments using archival and/or brand new data from the Hubble Space Telescope, James Webb Space Telescope, and Euclid.
Collaboration and Research
The successful candidate will collaborate with the CAB, co-located at ESA's European Space Astronomy Centre campus near Madrid in Spain, and will have the opportunity for collaborative research trips to partner institutes.
Requirements and Qualifications
The candidate should have research experience in galaxy evolution, experience with the application of machine learning, and strong communication skills. A PhD in astrophysics or comparable is required.
Additional Information
For more information, please contact the relevant authorities with CC: to Jan Reerink.
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