Climate Cloud Containers Continuous Integration Continuous Delivery (C5-id)

Host: Tom Robinson

The intern will help with setting up and fine tuning a continuous integration and continuous delivery pipeline using Amazon Web Service (AWS) and a Parallel Works-based cluster set up.  We will be setting up and running the GFDL climate models in software containers on the cloud for automated regression testing as well as automating releases for code updates on GitHub.  This will also involve testing out different processors on the cloud and optimizing the clusters set up for running the models.  Having an academic background in computer science, mathematics, or physical science will be beneficial because desired qualifications include some knowledge in modeling, computer programming, Linux (bash), and GitHub.  During this project, the intern will learn about running GFDL’s climate models and infrastructure code, large project code version control, high performance computing, cloud computing, and Fortran.