Postdoctoral and Research Engineer Positions On - Barcelona, España - Barcelona Supercomputing Center (BSC)

Isabel García

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Isabel García

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Descripción

Job Reference:


  • 144_24_ES_AC_R2
    Position:
  • Postdoctoral and research engineer positions on data assimilation for the atmospheric composition (R2)
    Closing Date:
  • Tuesday, 16 April, 2024
    Reference: 144_24_ES_AC_R2
    Job title: Postdoctoral and research engineer positions on data assimilation for the atmospheric composition (R2)
    About BSC
  • The 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 largescale 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 900 staff from 55 countries.
  • Look at the BSC experience:
  • BSC-CNS YouTube Channel
  • Let's stay connected with BSC Folks
    Context And Mission
  • The AC group develops and maintains its own forecast model MONARCH, which is a coupled meteorologicalchemistry model that can be run at global and regional scales to simulate gaseous chemistry and aerosols plus their feedbacks on radiation. It provides operational air quality forecasts over Europe within the Copernicus Atmosphere Monitoring Services (CAMS) and dust forecasts over Africa, Middle-East and Europe in the framework of the Barcelona Dust Regional Center (BDRC). Moreover, ensembles of MONARCH forecasts are computed daily to assimilate ground or satellite observations using a Local Ensemble Transform Kalman Filter (LETKF) approach. Data assimilation is also used by the AC team to compute retrospectives analyses of the atmospheric composition or to estimate dust emissions.
    Key Duties
  • For the postdoctoral researcher:
  • Collaborate in implementing stateoftheart ensemblevariational schemes on the BSC's HPC and adapt them to the MONARCH workflow.
  • Conduct data assimilation experiments with both synthetic and real observations of aerosols and gases, in analysis and forecast mode.
  • Evaluate results, perform sensitivity tests and identify potential improvements to the DA schemes.
  • Design and implement an emission inversion system for aerosols and gases in collaboration with other members of the team.
  • Conduct original research and dissemination in peer reviewed publications, internal and external meetings and conferences.
  • For the research engineer:
  • Implement and maintain a new stateoftheart ensemblevariational code on the BSC's HPC machines.
  • Develop and implement specific modules for aerosols and trace gas assimilation with MONARCH (model fields operations, interpolation routines, observation operators)
  • Integrate the new DA system in the research and operational MONARCH workflows.
  • Design and execute comparative, scalability and performance tests of both DA systems.
  • Propose and implement numerical and parallelization improvements
  • Contribute to code documentation, scientific publications and technical reports.

Requirements:


  • Education
  • Postdoctoral researcher:
a doctoral degree in the field of atmospheric sciences, environmental sciences, applied mathematics, physics, engineering, or related disciplines.

  • Research engineer: a master degree on computer sciences, physics, mathematics or related disciplines. A doctoral degree on those fields will be considered as a plus.
  • Essential Knowledge and Professional Experience
  • Postdoctoral researcher:
  • Experience with data assimilation and/or inverse methods in geosciences.
  • Experience with computationally demanding models (e.g. climate, atmosphere or ocean).
  • Experience in programming in Fortran, C++ or both.
  • Experience working in Unix/Linux environments.
  • Research Engineer:
  • Experience with C/C++ and Fortran
  • Experience with distributed programming (MPI).
  • Experience with in collaborative code development and version control systems
  • Additional Knowledge and Professional Experience
  • Experience with numerical weather prediction or atmospheric composition models.
  • Demonstrated scientific expertise, including but not limited to peer reviewed publications.
  • Experience with variational data assimilation.
  • Experience with Python.
  • Competences
  • Very good interpersonal skills.
  • Excellent written and verbal communication skills.
  • Ability to take initiative, prioritize and work under set deadlines.
  • Ability to work both independently and within a team.

Conditions

  • The position will be located at BSC within the Earth Sciences Department
  • We offer a fulltime contract (37.5h/week), a good working environment, a highly stimulating environment with stateoft

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