The Institut de Física d’Altes Energies (IFAE) is a public consortium of Generalitat de Catalunya, the Autonomous Government of Catalonia, and Universitat Autònoma de Barcelona (UAB, a public university) whose main goal is to carry out research and to contribute to the development of high energy physics from a theoretical, experimental and technological point of view. IFAE has the status of a “University Institute" attached to UAB and its premises are within the campus of the university.
Port d’Informació Científica (PIC) is a scientific-technological center operated through a collaboration agreement between CIEMAT and IFAE research centers which is specialized in developing advanced tools and methods for scientific data analysis. We participate in research projects from multiple disciplines with challenging data environments, including particle physics, astrophysics, biology, materials science and others. Our main objective is to accelerate research by making data analysis more effective through the use of Machine Learning, High-Throughput Computing and Big Data techniques using distributed computing to support collaborative research. PIC is collaborating in several international research projects such as the ATLAS, CMS and LHCb experiments at CERN, the optical galaxy surveys DES, PAU, Euclid and DESI), the gamma-ray astronomy telescopes MAGIC and CTA, the neutrino experiments DUNE and T2K and the gravitational wave interferometers LIGO and Virgo. PIC also collaborates with many other research groups from different disciplines supporting their data-intensive research such as ALBA, ICN2 and ICMAB in material science or UAB and I3PT in genomics. PIC is looking for a highly motivated systems and infrastructure administrator with technical skills in linux and network administration and genuine interest in scientific research. The successful candidate will join the Operations team of the PIC data center and will work in close collaboration with engineers and scientists to develop, deploy and operate computing platforms to carry on the research data analysis.
Closing Date: February 11, 2024
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