Context And Mission
This position will be hosted by the Climate Variability and Change group within BSC’s Earth Science Department. The candidate will analyse decadal prediction experiments, and assess their forecast quality in predicting fire weather conditions.
Key Duties
* Derive fire weather metrics from observational/reanalysis datasets and the DCPP hindcast experiments
* Analyse skill of the decadal hindcast experiments in predicting observed fire weather conditions, and compare the skill to CMIP historical forcing experiments
* Prepare a Master Thesis based on the research results
Requirements
* Education
o Degree in Climate Science, Environmental Sciences, Meteorology, Mathematics, Physics, Computer Science or a related discipline
* Essential Knowledge and Professional Experience
o Coding skills in R or Python
o Experience with UNIX/LINUX environments and scripting languages (bash,...)
* Additional Knowledge and Professional Experience
o Previous experience in a scientific area related to the research position, in particular climate analysis or modeling will be valued
o Fluency in English
* Competences
o Good written and verbal communication skills
o 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 a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible 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 living in Barcelona
* Starting date: 16/2/2026