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Join the quest for cosmic discoveries as Head of the Science Operations Department at the European Space Astronomy Centre in Spain
Overview
Salary No salary declared 😔
Location Madrid, Spain
Expires Expires at anytime
The European Space Astronomy Centre (ESAC) is at the forefront of astronomical discovery, located near Madrid, Spain. As part of the ESA's Directorate of Science, the Head of the Science Operations Department plays a pivotal role in managing science operations infrastructure, overseeing missions post-commissioning, and curating scientific data during the missions' legacy phase. This is an unparalleled opportunity to contribute to groundbreaking space science in an inclusive and diverse work environment.
- Lead the development of science operations infrastructure for ESA's Directorate of Science.
- Manage post-commissioning operations for directorate missions.
- Curate scientific data in the legacy phase of missions.
- Utilize machine learning to search for anomalous galaxies in Euclid science archives.
- Experience with Python, Anaconda (or equivalent), and JupyterLab.
- Proficient in deploying machine learning algorithms.
- Adept at handling large astronomical datasets and imaging.
- Knowledge of extragalactic astronomy (preferred).
- Experience with CUDA and GPU programming (preferred).
ESA values diversity and offers an equal opportunity environment, encouraging applications from all qualified candidates, especially women. Eligibility is extended to nationals from a wide range of European states and cooperating countries.
This position is based at the European Space Astronomy Centre (ESAC) - Near Madrid, Spain. Under the direct authority of the Directorate of Science, the Head of the Science Operations Department is responsible for the development of the science operations infrastructure under the Directorate responsibility, the operation of the Directorate’s missions once successfully commissioned, and the curation of all scientific data in the missions’ legacy phase.
The role entails searching for anomalous galaxies in science archives with machine learning. Galaxies host an assortment of strange morphological features depending on their evolutionary history. We propose to use a machine learning algorithm, specifically developed to classify galaxy morphology, to discover more of these systems in the Euclid science archives.
Job requirements include experience with the Python programming language, experience with Anaconda (or equivalent) and JupyterLab, experience with using and deploying machine learning algorithms, and experience with handling large astronomical datasets and imaging. Knowledge of extragalactic astronomy is desired, but not essential. Knowledge of CUDA and GPU programming is desired, but not essential.
ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.
Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Latvia, Lithuania, Slovakia and Slovenia, as Associate Member States, or Canada as a Cooperating State, can apply as well as those from Bulgaria, Croatia and Cyprus as European Cooperating States (ECS).
