The Centre for Environmental Data Analysis (CEDA), within STFC’s RAL Space Department, serves the environmental science community hosting data centres providing access to datasets ranging from computer simulations of future climate to the latest satellite-based observations of the earth. We are involved in a number of collaborative projects working with organisations, including the Met Office, European Space Agency, and NASA, developing software and systems to facilitate access to, and analysis of, environmental data. Our data and computing services are hosted on JASMIN, incorporating cloud and High Performance Computing technologies, a world-class 55 petabyte parallel processing and storage facility! Each year we support over 55 million data accesses through our download services and 4.5 million hours of computation on the JASMIN batch-compute cluster!
Researchers rely on CEDA services to investigate pressing issues such as climate change, extreme weather events, air pollution, and many other topics. Working on the STFC, Rutherford Appleton Laboratory site, you will be close to other exciting facilities with passionate staff and graduates who are happy to talk about their work. There are weekly presentations by staff across the site and guest lectures on diverse topics.
We now have an opportunity for Software Developers to join STFC’s award winning graduate scheme, building a state-of-the-art scientific data platform for climate, atmospheric and earth observation scientists.
Our graduates work on developing and supporting services for the global scientific community such as:
Working closely with research organisations, we are often exploring cutting edge technologies and standards and foster an exploratory environment where our staff are encouraged to find new solutions to existing problems.
We use a wide variety of tools and technologies, from web technologies to data processing tools. These are constantly changing with the needs of the community and the advancement of computing. Exposure to some of these things is helpful but not essential - full training provided. You should have a desire to learn and a willingness to try new things in an encouraging environment.
Web: Django, Nginx, Bootstrap, ReactJS.
Databases: SQL (PostgreSQL) and noSQL (Elasticsearch)
Packaging/deployment: Python Pip and virtualenv, RPM, Conda, Docker, Ansible.
Version control, CI/CD: Git, GitHub Actions, GitLab CI.
Virtualisation/cloud: OpenStack, object store technologies (S3), container orchestration technologies (Helm, Kubernetes).
Data: cf-python, Xarray, Iris, Matplotlib, NetCDF4, R, CDO, NCO, Pandas.
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