Within the Earth Sciences department, the Data and Diagnostics Team is part of the core development team of the ESMVal Tool (https://esmvaltool.org/), a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP. This suite of Python tools aims at efficiently loading and analyzing very big Earth simulation data, comparing them with observations.
The successful applicant will join the BSC Computational Earth Sciences group, within the Earth Sciences Department, to help with the practical implementation of new diagnostics in ESMVal, contribute to their optimisation, and provide support to the users of the department for the use of the tool.
Moreover, the applicant will also participate in the networking activities around ESMValTool, to ensure participation of the department in European and national research calls.
Key Duties
- Contribute to the optimization and development of the ESMVal python tool
- Ensure internal user support for the tool
- Participate to the inclusion of BSC and ESMValTool in international proposals
Requirements
- Education
- Having a Bachelor in Computer Science, Telecommunications, Physics or related discipline
- Essential Knowledge and Professional Experience
- Excellent computing skills in Python and experience with UNIX/LINUX environments and scripting languages (bash,etc)
- Experience in managing large datasets and Python parallelization
- Knowledge of climate data formats (NetCDF, grib) and associated libraries (Xarray, Iris, CDO, NCO…)
- Additional Knowledge and Professional Experience
- Good programming skills to manage big and collaborative projects and experience with git and/or SVN
- Competences
- Capacity to interact and build strong relations with both climate and computer scientists.
- Excellent written and verbal communication skills.
- Ability to take initiatives, prioritize the tasks and work under set deadlines.
- Ability to work both independently and within a team.
- Ability to learn and adapt to multiple programming languages easily.
- Fluency in English, both speaking and writing