Earth Data Strategist
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About BSCThe 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 ** staff from 60 countries.Job Reference387_26_ES_EDD_RE2PositionEarth data strategist (RE2)Closing DateMonday, 31 August, **Reference: 387_26_ES_EDD_RE2Job title: Earth data strategist (RE2)Look At The BSC ExperienceBSC-CNS YouTube ChannelLet’s stay connected with BSC Folks!We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.In instances of equal merit, the incorporation of the under-represented sex will be favoured.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.If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer.We value diversity of experiences and skills, and you could bring unique perspectives to our team.Context And MissionThe Earth Sciences department from the Barcelona Supercomputing Center curates and manages a data archive of close to 8PB of data from observations, models, reanalyses, and derived products, based on external sources or generated in the department.Scientists from different scientific groups rely on this shared data archive curated by the Data and Diagnostics Team (DDT, composed of around 20 members), which is in charge, among other activities, of downloading, standardizing, checking, and curating the data into standardized netcdf format fitting the community standards and the requirements from the tools developed by the group.The successful candidate will join the Data and Diagnostics Team to elaborate a long-term strategy on the data archiving and ingestion pipelines, elaborating the strategy based on the state-of-the-art analysis tools, storage formats (Zarr, for example), the requirements from the users of the department (AI-readiness, compression, operationalization,…) and the strategy used in institutions similar to the BSC, including travels to the corresponding institutions to gain in-depth understanding of their strategy.The successful candidate will be in charge of proposing possible reconversion of the current data archive preserving compatibility with the existing tools and data pipelines, while she/he will collaborate with other members of the team to implement the new data ingestion/curation pipelines.Key DutiesDesign a strategy for the long-term evolution of the NetCDF data archive of the Earth Sciences departmentInvestigate with internal users and external institutions the needs and existing landscape for Earth data storageRequirementsEducationHaving a Master’s degree in Computer Science, Data Science, Physics, or a related disciplineEssential Knowledge and Professional Experienceat least 3 to 5 years experience in a Earth Sciences data environmentCompetencesData management in a Linux-based environmentEarth data formats and toolsPythonCommunication skills to get the requirements from the usersHigh performance computing environmentsManagement of high data volumes (~PB)ConditionsThe position will be located at BSC within the Earth Sciences DepartmentWe offer a full-time contract (35h/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 proceduresDuration: Open-ended contract due to technical and scientific activities linked to the project and budget durationHolidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreementSalary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in BarcelonaStarting date: as soon as possible#J-*****-Ljbffr
Requirements
data archive preserving compatibility with the existing tools and data pipelines, while she/he will collaborate with other members of the team to implement the new data ingestion/curation pipelines.Key DutiesDesign a strategy for the long-term evolution of the NetCDF data archive of the Earth Sciences departmentInvestigate with internal users and external institutions the needs and existing landscape for Earth data storageRequirementsEducationHaving a Master’s degree in Computer Science, Data Science, Physics, or a related disciplineEssential Knowledge and Professional Experienceat least 3 to 5 years experience in a Earth Sciences data environmentCompetencesData management in a Linux-based environmentEarth data formats and toolsPythonCommunication skills to get the requirements from the usersHigh performance computing environmentsManagement of high data volumes (~PB)ConditionsThe position will be located at BSC within the Earth Sciences DepartmentWe offer a
Benefits & conditions
full-time contract (35h/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 proceduresDuration: Open-ended contract due to technical and scientific activities linked to the project and budget durationHolidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreementSalary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in BarcelonaStarting date: as soon as possible#J-*****-Ljbffr
About the company
About BSCThe 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 ** staff from 60 countries.Job Reference387_26_ES_EDD_RE2PositionEarth data strategist (RE2)Closing DateMonday, 31 August, **Reference: 387_26_ES_EDD_RE2Job title: Earth data strategist (RE2)Look At The BSC ExperienceBSC-CNS YouTube ChannelLet’s stay connected with BSC Folks! We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.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.If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.Context And MissionThe Earth Sciences department from the Barcelona Supercomputing Center curates and manages a data archive of close to 8PB of data from observations, models, reanalyses, and derived products, based on external sources or generated in the department.
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