About the Role
We are seeking a Research Engineer - Python Earth Diagnostics Developer to join our team at the Barcelona Supercomputing Center. This role is focused on utilizing Python for Earth diagnostics and will involve working with large datasets and advanced computational tools. As a Research Engineer - Python Earth Diagnostics Developer, you will contribute to the optimization and development of the ESMVal Python tool, which is essential for evaluating Earth system models.
What You'll Do
- Contribute to the optimization and development of the ESMVal Python tool.
- Provide internal user support for the tool.
- Participate in the inclusion of BSC and ESMValTool in international proposals.
- Engage in networking activities around ESMValTool to enhance collaboration.
- Assist in the practical implementation of new diagnostics in ESMVal.
Requirements
- Bachelor's degree in Computer Science, Telecommunications, Physics, or a related discipline.
- Excellent computing skills in Python and experience with UNIX/LINUX environments.
- Experience in managing large datasets and Python parallelization.
- Knowledge of climate data formats (NetCDF, grib) and associated libraries (Xarray, Iris, CDO, NCO).
- Fluency in English, both speaking and writing.
Nice to Have
- Good programming skills to manage big and collaborative projects.
- Experience with version control systems like git and/or SVN.
- Ability to interact and build strong relationships with climate and computer scientists.
What We Offer
- A full-time contract (37.5h/week) in a stimulating environment.
- Flexible working hours and extensive training plans.
- Private health insurance and restaurant tickets.
- Support for relocation procedures.
- 22 days of holidays + 6 personal days annually.
This role offers a unique opportunity to work at a leading supercomputing center, contributing to impactful Earth diagnostics research using Python. Enjoy a supportive work environment with flexible hours.
Who Will Succeed Here
Proficiency in Python programming with hands-on experience in utilizing libraries such as Xarray and Iris for data analysis and visualization, particularly in Earth sciences.
Strong familiarity with Unix/Linux environments, especially in managing and processing large datasets using command-line tools like CDO and NCO.
Adaptability to remote work settings, demonstrating self-motivation and effective time management skills to independently tackle complex research projects.
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