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Technical Lead (m/f/x) for Scientific Collaboration Platform SciServer for eROSITA and HETDEX
Aktualität: 29.02.2024


29.02.2024, Max Planck Institute for Extraterrestrial Physics
Technical Lead (m/f/x) for Scientific Collaboration Platform SciServer for eROSITA and HETDEX
Applications are invited for a position in support of the computing Sciserver@MPE platform for astronomical surveys conducted by the MPE. We are searching for a highly qualified IT professional with experience in software development, system administration, and handling of large astronomic datasets. The candidate is expected to work with us on maintaining and extending the existing science data SciServer (https://sciserver.org/) platform to exploit eROSITA and HETDEX surveys. eROSITA is the primary instrument on board the Russian «Spectrum-Roentgen-Gamma» (SRG) satellite launched in 2019. It collects X-ray data of up to a hundred thousand galaxy clusters and stars and millions of active galactic nuclei. HETDEX is a unique spectroscopic survey that will map the evolution of dark energy using Lyman-alpha emitting galaxies in the high redshift universe. HETDEX started its observations in January 2018. In the longer term the support role might be expanded to the 4MOST (https://www.4most.eu/cms/home/) and Euclid (https://www.esa.int/Sci-ence_Exploration/Space_Science/Euclid_overview) missions. The ideal candidate will be a scientific programmer with a strong interest in working with large astronomical datasets and is expected to maintain and update the science platform, including ingesting new data, user support, and developing new data routines and services supporting science collaborations. Furthermore, the candidate will be helming efforts to integrate the science platform closer to the services and facilities of the Max Planck Computing and Data Facility (MPCDF, the data center on Campus).
University degree in computer science, astronomy, physics, or a related field Experience with science platform functionality, Jupyter Notebooks / lab, proficient with Python and R Experience with administration of Linux systems and clusters; ideally, some experience with Windows servers as well Experience with virtual machines, Docker and Kubernetes Knowledge of SQL databases, database design, and database server administration Knowledge of software design and programming principles development documentation and testing; ideally, some experience creating and deploying web services Understanding of the modern tools and technologies for computational analysis in astronomy Good communication skills in English, both written and spoken