Postdoctoral Researcher in Machine Learning for Galaxy Morphology
hace 2 días
An exciting opportunity has arisen for an astrophysicist to join an international joint research program, collaborating with esteemed institutions such as ESA, STScI, Galaxy Zoo, the Centro de Astrobiología (CAB), and the University of Toronto.
The program aims to explore the application of innovative machine-learning techniques to improve our understanding of galaxy morphology, leveraging archival and brand new data from the Hubble Space Telescope, James Webb Space Telescope, and Euclid.
Research FocusThe successful candidate will work closely with the ESA Data Science team to develop and deploy models based on archival data from ESA/NASA missions and algorithms developed by Galaxy Zoo.
Key research areas include:
- Developing and applying novel deep learning techniques to study galaxy morphology in different environments
- Collaborative research trips to partner institutes at STScI and the University of Toronto
To be considered for this position, applicants should have:
- Research experience in galaxy evolution
- Experience with the application of machine learning
- Strong communication skills
- Qualifications: PhD in astrophysics or comparable
The successful candidate will join the CAB, co-located at ESA's European Space Astronomy Centre campus near Madrid in Spain, and will have the opportunity to collaborate with a diverse team of researchers.
For more information, please contact the relevant personnel at the CAB.
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