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  4. Assistant Data Scientist Industrial Placement 2021
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The Centre for Environmental Data Analysis (CEDA) within STFC serves the environmental science community through provision of:

  • The CEDA Archive - a long term data archive containing over 15 petabytes of atmospheric and earth observation data
  • The CEDA Data Catalogue - providing information to users about the data in our archive
  • JASMIN - a data intensive supercomputer

We provide data management support for the atmospheric and earth observation academic research communities’ (predominantly Natural Environment Research Council (NERC) funded projects); ensuring quality-controlled data are available and preserved for the future. We make sure data is documented and made openly available for others to use, where possible. We aim to support environmental science; further environmental data archival practices, and develop and deploy new technologies to enhance access to data.

The Role

As an assistant data scientist, you will be working on a relevant project, supervised and guided by a data scientist at CEDA. The project will involve learning about climate models by collating information through independent research and exploring different sources of information. The aim of the project will be to populate a new Model Data Catalogue with this information. This data catalogue will showcase the climate model data held in the CEDA Archive. This is an important tool for the scientific community in order to easily find and access climate data for use in scientific research projects.

You will gain knowledge of climate models during this project by learning the specifics about models commonly used in the climate research community. You will develop skills such as independent research, written communication and critical thinking. This will be a flexible project with opportunity to gain knowledge and skills in other similar areas.

The placement itself will be based at the Rutherford Appleton Laboratory (RAL) outside of Didcot. However, due to the pandemic and the governments guidance of working from home, there is a potential chance the placement could be based remotely. This will be assessed nearer the time the placement is due to commence in the Summer.

Requirements

Essential

  • Are in full time education at university and returning to university following the placement
  • The right to live and work in the UK for the duration of the placement which is 12 weeks
  • Good understanding of weather and climate models
  • Studying relevant degree in Meteorology, Climate Modelling, Atmospheric science, Environmental Science or similar with degree content relevant to the vacancy
  • Interest in atmosphere and climate
  • Experience of independent study
  • Good written communication skills

Desirable

  • Knowledge of scientific vocabulary relating to weather and climate models
  • Experience with climate modelling data