7. Planetary visualisation with ESA Datalabs

     

    ESA supervisor: Mark Bentley
    Collaborator(s): Jan Reerink, Sandor Kruk

    Site: ESAC

    The ESA Datalabs platform currently supports access to all public data in the Planetary Science Archive (PSA), from the earliest mission (the Giotto flby 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 traineeship 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 the intern would be free to work on any instrument or data type they have 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.

    Project duration: 6 months.

    Desirable expertise or programming language:

    Python, Docker, Scientific visualisation, Planetary science

     

    To apply for this project please fill in an online application form through the following link.