We are offering a master internship to evaluate the predictability of the ocean circulation, its precursors and impacts at decadal scale, by analysing a large ensemble of retrospective decadal prediction systems. This research will contribute to the national project AMOC-WATCH.
Key Duties
- Identifying the main precursors and fingerprints of the AMOC from the existing literature
- Evaluating the multi-model prediction skill for those predictors
- Evaluating how strongly the precursors and fingerprints correlate with the AMOC across models
Requirements
- Education
- Being enrolled in a master degree in Computer Sciences, Mathematics, Physics, Meteorology or equivalent
- Essential Knowledge and Professional Experience
- Excellent coding skills in Python
- Experience with UNIX/LINUX environments and scripting languages (bash,...)
- Additional Knowledge and Professional Experience
- Experience of version control in a distributed team, including SVN or Git will be valued
- Previous experience in climate sciences will be valued as well
- Fluency in English
- Competences
- Capacity to interact and build strong relations with both climate and computer scientists
- Good written and verbal communication skills
- Ability to take initiatives prioritize tasks and work under set deadlines
Conditions
- The position will be located at BSC within the Earth Sciences Department
- We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, versátil working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of
📌 Master Internship (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona
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