Young Graduate Trainee for Data Science on Archives
- Organization: ESA - European Space Agency
- Location:
- Grade: Junior level - F1 - Young Graduate Trainee
-
Occupational Groups:
- Statistics
- Information Technology and Computer Science
- Scientist and Researcher
- Documentation and Information Management
- Closing Date: Closed
EUROPEAN SPACE AGENCY
Young Graduate Traineeship Opportunity in the Directorate of Science.
ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. Applications from women are encouraged.
Post
Young Graduate Trainee for Data Science on Archives
This post is classified F1.
Location
ESAC, Villanueva de la Cañada, Spain
Within the Operations Department’s Data & Engineering Division, the ESAC Science Data Centre (ESDC, http://cosmos.esa.int/web/esdc/) is responsible for developing and operating the science data archives of all ESA space science missions (astronomy, solar system) in close cooperation with the Science Operations Centres at ESAC, the instrument teams and the scientific community.
We are developing a set of data science applications to exponentially expand the scientific exploitation of the data sets by applying artificial intelligence techniques. Successful pilot studies included the training of deep Convolutional Neural Networks (CNN) to identify asteroid trails in Hubble Space Telescope images or interstellar medium bubbles in Herschel images with training samples provided by citizen science projects. Based on these successful pilot programmes, the one-year goal of the project is to have all image contents of ESA’s astronomical archives classified automatically by one or more CNNs to allow users to search them for science content on the images (e.g. asteroid trails, ISM bubbles, elliptical, spiral, spiral barred and irregular galaxies, nebulae and single or multiple stars) – instead of just on the meta data of the images, as all other astronomical archives worldwide allow today. This new feature will truly enable higher-level science exploitation by astronomers and data scientists alike, boosting the science return on ESA science missions.
Candidates interested are encouraged to visit the ESA website: http://www.esa.int
As a YGT you will work with a small team of software engineers and scientists at ESAC. The outcome of your work will be part of the future operational version of the ESASky portal to all astronomy data, for which you will be given due credit. You will get all needed software and computer support and training for the project. An Agile/Scrum software development methodology will be used.
You should have just completed, or be in the final year of a university course at Master’s level (or equivalent) in a technical or scientific discipline, with demonstrable experience in Machine Learning and Data Science.
The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.
You should demonstrate good interpersonal skills and the capacity to work both independently and as part of a team.
During the interview your motivation and overall professional perspective/career goals will also be explored.
Other information
For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework.
The closing date for applications is 15 December 2019.
If you require support with your application due to a disability, please email contact.human.resources@esa.int.
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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 Slovenia, as an Associate Member, or Canada as a Cooperating State, can apply as well as those from Bulgaria, Cyprus, Latvia, Lithuania and Slovakia as European Cooperating States (ECS).
Priority will first be given to candidates from under-represented Member States.
In accordance with the European Space Agency’s security procedures and as part of the selection process, successful candidates will be required to undergo basic screening before appointment
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