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Earth system science data manager (f/m/x)

Posted 14 days 10 hours ago by Helmholtz-Zentrum für Umweltforschung GmbH - UFZ

Permanent
Not Specified
Science & Technology Jobs
Sachsen, Leipzig, Germany, 04318
Job Description
The job Within the research unit Smart Models/ Monitoring we are looking for a data manager/ scientific programmer (f/m/x) to support the departments CER, RS and CHS in their day-to-day scientific activities related to the handling of large spatio-temporal datasets from observations, remote sensing and model simulations. The position is originally for 3 years but can be extended. Your tasks Support the departments CER, RS, and CHS by building a flexible data archive and management system for spatio-temporal datasets such as remotely sensed data, climate and impact model simultations, reanalysis and gridded observation-based data Downloading, regridding, reprojecting and regularly updating relevant datasets Possible gap filling of datasets Interactive visualization of metadata and available datasets for easy access for researchers We offer The freedom to master even the most demanding challenges between basic research and practical application The chance to work in interdisciplinary, international teams and benefit from a variety of perspectives First class integration into national and international research networks to work together on global challenges Excellent research infrastructure and research data management to optimally support your work Flexible working hours and a wide range of options for balancing work and care responsibilities through our family office Competent support and advice for international colleagues arriving at the UFZ from the 'International Office' Special annual payment, capital-forming benefits and subsidised Germany Job Ticket A workplace in a vibrant region with a high quality of life and social and cultural diversity Your profile MSc or PhD in Earth system science, remote sensing, environmental modelling or related fields Excellent data handling skills with large spatiotemporal data Experience with high performance computing (HPC) Excellent programming skills (e.g. Python, R, Julia, bash, cdo, etc.) Experience with different data formats such as netCDF, geoTIFF, hdf, zarr Open-minded, proactive Experience with a scientific work environment
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