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hace 4 semanas
**Job Reference**:
- 768_24_ES_AQS_R0**Position**:
- Undergraduate Student - AI for Air Quality Services (R0)**Closing Date**:
- Tuesday, 05 November, 2024**Reference**: 768_24_ES_AQS_R0**Job title**: Undergraduate Student - AI for Air Quality Services (R0)**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.
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BSC-CNS YouTube Channel
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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**
- The Department of Earth Sciences of the Barcelona Supercomputing Centre-Centro Nacional de Supercomputación (BSC-CNS), BSC-ES henceforth (bsc.es/earth-sciences) is one of the most active groups in air quality and atmospheric composition modeling, climate prediction and climate services in Europe. The Department comprises about 200 people, including scientists and technical staff. It is structured into five distinct but interacting research groups: Atmospheric Composition, Climate Prediction, Earth System Services (ESS), Global Health Resilience, and Computational Earth Sciences.**Key Duties**
- Multidisciplinary research, working with scientists and IT developers
- Analyze and evaluate model results against observations; create graphs and reports.
**Requirements**:
- Education
- Last year of graduation in AI degree or related disciplines
- Essential Knowledge and Professional Experience
- Previous experience working with air quality data
- Experience with AI methods in R (or Python).
- Ability to work in a professional environment and in a multidisciplinary research team.
- Additional Knowledge and Professional Experience
- Demonstrated verbal communication and technical presentation skills.
- Fluency in English.
- Competences
- Fluency in other European languages will also be valued.
**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: 01/12/2024
**Applications procedure and process**
- A full CV in English including contact details
- A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information 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, disability or any other basis protected by applicable state or local law.
For more information follow this link
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