Context And Mission 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, adaptable 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 the candidate and according to the cost of liv

📌 Master Internship (España)
🏢 Barcelona Supercomputing Center
📍 España