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hace 1 semana


Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**: - 470_25_ES_CVC_RE1 **Position**: - Research Engineer - Driver attribution and prediction of climate extremes (RE1) **Closing Date**: - Tuesday, 22 July, 2025 **Reference**: 470_25_ES_CVC_RE1 **Job title**: Research Engineer - Driver attribution and prediction of climate extremes (RE1) **About BSC** - The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS YouTube Channel Let's stay connected with BSC Folks We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. **Context And Mission** - This position will be hosted by the Climate Variability and Change group within BSC’s Earth Science Department. This work will contribute to the European Commission Horizon Europe project EXPECT, an international project to develop integrated prediction and attribution of regional climate changes including extremes. **Key Duties** - Evaluate predictability and feature importance in climate models compared to observational data - Advance analogue-based initialisation techniques that integrate multiple variables including Earth Observations data - Integrate satellite-based data in the AI-based driver detection and prediction methods **Requirements**: - Education - Having a degree in climate Science, Meteorology, Mathematics, Physics, Computer Science or a related discipline - Essential Knowledge and Professional Experience - Excellent coding skills in Python and/or R - 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 a scientific area related to the research position, in particular climate analysis or modeling will be valued - Fluency in English - Competences - 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 (37.5h/week), 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: 23 paid vacation days plus 24th and 31st of December per our collective agreement - Starting date: 01 August 2025 **Applications procedure and process** - A full CV in English including contact details - A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered. **Development of the recruitment process** The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases: - **Curriculum Analysis**: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - **_40 points_**: The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile. At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es. For more information, please follow this link. **Deadline** **OTM-R principles for selection processes** BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, d


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