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    Senior researcher on high resolution modeling - Barcelona, España - Barcelona Supercomputing Center

    Barcelona Supercomputing Center
    Barcelona Supercomputing Center Barcelona, España

    Encontrado en: Talent ES C2 - hace 3 días

    BARCELONA SUPERCOMPUTING CENTER background
    De jornada completa
    Descripción

    Context And Mission


    Within the Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES), led by Prof Francisco Doblas-Reyes, the climate prediction group, led Dr. Pablo Ortega and Dr. Markus Donat, aims at improving our climate prediction capability for time scales ranging from a few weeks to a few decades and from regional to global scales. The group is also part of the development team and a key user of the EC-Earth global climate model () and as such collaborates closely with all the members of the EC-Earth consortium.

    The position offered is funded by the Destination Earth contract CATs and by the Horizon Europe project EERIE, and involves contributing to the development of the new digital twin based on NEMO and IFS, its scientific validation, and all the scientific activities around it to be performed within EERIE, including leading a deliverable and supervising the work of other group members.
    Key Duties
    • Contribute to the development of the new very high resolution configuration with and IFS, and its scientific validation
    • Running some of the production experiments with this new model configuration
    • Contribute to project deliverables
    • Analyse how the increase of the resolution impacts the representation of future ocean changes and their impacts over land
    • Lead the scientific activities and reporting of the national project STREAM
    • Submitting and executing supercomputing access proposals to guarantee the feasibility of the high resolution simulations
    Requirements
    • Education
      • PhD in atmospheric science, applied mathematics, engineering, fluid dynamics or in a related discipline
    • Essential Knowledge and Professional Experience
      • Postdoctoral experience will be valued
        Proven ability to prepare and submit manuscripts to peer-review journals
      • A demonstrated ability to develop experimental set ups that address specific climate modeling problems
      • Experience in ocean/atmosphere modelling (or environmental modelling) and in handling climate model output
      • Programming skills: scripting (, python), data analysis and visualization software (, NCO, R, Python, NCL)
      • Experience in handling large datasets, and a minimum knowledge of NetCDF encoding
      • Experience in HPC and parallel computing (multi-threaded applications)
    • Additional Knowledge and Professional Experience
      • Interest and capacity in participating in the writing and, when possible, leading the preparation of research and computing proposals
      • Knowledge of version control systems (git, svn, cvs...)
      • Interest in tutoring and/or advising master and PhD students
    • Competences
      • Fluency in spoken and written English, while fluency in other European languages will be also valued
      • Highly collaborative spirit and ability to work as part of a large, strongly-coordinated team and to continuously share both knowledge and tools

    Conditions
    • The position will be located at BSC within the Earth Sciences Department
    • We offer a full-time contract 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
    • Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
    • Starting date: 01/08/2023

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