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Research Engineer - Python Earth diagnostics developer (RE2)

Barcelona Supercomputing Center
Found 4 weeks ago
Location
Barcelona, Spain
Time
Full-time
Work Mode
Not disclosed
Salary
competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • UNIX/LINUX environments
  • scripting languages (bash,etc)
  • managing large datasets
  • Python parallelization
  • NetCDF
  • grib
  • Xarray
  • Iris
  • CDO
  • NCO
  • git
  • SVN

Soft Skills

  • Capacity to interact and build strong relations with both climate and computer scientists.
  • Excellent written and verbal communication skills.
  • Ability to take initiatives, prioritize the tasks and work under set deadlines.
  • Ability to work both independently and within a team.
  • Ability to learn and adapt to multiple programming languages easily.
  • Fluency in English, both speaking and writing

Job Description

Within the Earth Sciences department, the Data and Diagnostics Team is part of the core development team of the ESMVal Tool (https://esmvaltool.org/), a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP. This suite of Python tools aims at efficiently loading and analyzing very big Earth simulation data, comparing them with observations. The successful applicant will join the BSC Computational Earth Sciences group, within the Earth Sciences Department, to help with the practical implementation of new diagnostics in ESMVal, contribute to their optimisation, and provide support to the users of the department for the use of the tool. Moreover, the applicant will also participate in the networking activities around ESMValTool, to ensure participation of the department in European and national research calls.

Requirements

  • Having a Bachelor in Computer Science, Telecommunications, Physics or related discipline
  • Excellent computing skills in Python and experience with UNIX/LINUX environments and scripting languages (bash,etc)
  • Experience in managing large datasets and Python parallelization
  • Knowledge of climate data formats (NetCDF, grib) and associated libraries (Xarray, Iris, CDO, NCO...)
  • Good programming skills to manage big and collaborative projects and experience with git and/or SVN
  • Capacity to interact and build strong relations with both climate and computer scientists.
  • Excellent written and verbal communication skills.
  • Ability to take initiatives, prioritize the tasks and work under set deadlines.
  • Ability to work both independently and within a team.
  • Ability to learn and adapt to multiple programming languages easily.
  • Fluency in English, both speaking and writing

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English
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