Intern in the Data Science and Archive Division to build visualisation tools for planetary data

Support ESA's Datalabs in developing planetary data visualization tools.

This opening expired 1 year ago. Do not try to apply for this job.

ESA - European Space Agency

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Application deadline 1 year ago: Saturday 30 Nov 2024 at 23:59 UTC

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Overview

Support ESA's Datalabs in developing planetary data visualization tools.

You have:

  • Must be a university student in their final or second-to-last year of a Master's level course and remain enrolled during the internship.
  • Good knowledge of English or French required; knowledge of another Member State language is an asset.
  • Knowledge of Python, Docker, Scientific visualization, and Planetary science would be an asset.

Contract

This is a Internship contract. It usually requires 0 years of experience, depending on education. More about Internship contracts.

Internship Opportunity in the Directorate of Science.

Location

Madrid Our team and mission

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. These responsibilities are discharged in full coordination with the Directorate’s Departments and Offices and as appropriate, with the Directorate of Operations (D/OPS).

In implementing its duties, the Science Operations Department is supported by the:

  • Mission Management and Science Operations Division (SCI-SO);
  • Science Operations Development Division (SCI-SD);
  • Data Science and Archives Division (SCI-SA).

Candidates interested are encouraged to visit the ESA website: http://www.esa.int

Field(s) of activity for the internship

Topic of the internship: Planetary visualisation with ESA Datalabs

The ESA Datalabs platform currently supports access to all public data in the Planetary Science Archive (PSA), from the earliest mission (the Giotto flyby of comet Halley), to the latest (JUICE, on its way to the Jupiter system). A Jupyter Lab environment has already been set up to work with planetary data, but the Datalabs platform supports many other application types.

The aim of this internship would be to evaluate different options (e.g. a python Flask app) which could be used to visualise data from the PSA (e.g. interactive time-series visualisation, geospatial display etc.) and to prototype one or more. Python code to work with the archival data formats (PDS3 and PDS4) are already available and you would be free to work on any instrument or data type you have an interest in. The ideal output would be an application published in the Datalabs catalogue which integrates with the archive via its APIs and filesystem and visualises data in a user-friendly way.

Behavioural competencies

Result Orientation Operational Efficiency Fostering Cooperation Relationship Management Continuous Improvement Forward Thinking

For more information, please refer to ESA Core Behavioural Competencies guidebook

Education

You must be a university student, preferably in your final or second-to-last year of a university course at Master’s level and you need to remain enrolled at your University for the entire duration of the internship.

Additional requirements

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.

Knowledge of Python, Docker, Scientific visualisation, Planetary science would be an asset.

Other information

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.

At the Agency we value diversity, and we welcome people with disabilities. Whenever possible, we seek to accommodate individuals with disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at [email protected].

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).

Potential interview questions

Can you describe a project where you had to visualize complex data? This assesses your practical experience and skills in data visualization. Discuss the tools and techniques you used, focusing on the methods of visualization.
How do you prioritize tasks when working on multiple projects simultaneously? This evaluates your time management and organizational skills. Pro members can see the explanation.
What is your experience with Python libraries for data analysis and visualization? Pro members can see the explanation. Pro members can see the explanation.
How would you approach learning a new programming language or tool? Pro members can see the explanation. Pro members can see the explanation.
Can you give an example of how you fostered cooperation in a team setting? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: jobs.esa.int