Researcher for high-resolution global climate prediction (R2)

Job Reference



Researcher for high-resolution global climate prediction (R2)

Closing Date

Tuesday, 31 March, 2020
Reference: 50_20_ES_GES_R2
Job title: Researcher for high-resolution global climate prediction (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, and is a hosting member of the PRACE European distributed supercomputing infrastructure. 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 650 staff from 49 countries.

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Context And Mission

The Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES,,, led by Prof Francisco Doblas-Reyes, aims at, among other objectives, developing a capability to develop and provide climate information for a variety of time scales ranging from a few weeks to a few decades and from regional to global scales. The department 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 aims at performing and analysing simulations with EC-Earth at different resolutions to assess the relative merits of increasing resolution in terms of forecast quality and predictability sources at seasonal and longer time scales. The work will be part of the European H2020 project EUCP EUCP develops an innovative European regional ensemble climate prediction system based on a new generation of improved and typically higher-resolution climate models, covering timescales from seasons to decades initialised with observations, and designed to support practical and strategic climate adaptation and mitigation decision-taking on local, national and global scales.
The analyses will consist in applying standard forecast quality measures comparing them with the best observations available and taking into account the observational uncertainty, estimating metrics that assess the impact of resolution on the main drivers of predictability and developing relevant forecast products that make use of the simulations performed.
The successful applicant will perform the simulations on the Marenostrum4 supercomputer and collaborate with scientists in the department who develop and implement the model in the local infrastructure.

Key Duties

  • Perform climate forecast simulations with EC-Earth with different resolutions
  • Develop the necessary initial conditions for the corresponding model resolutions
  • Interact with the software engineers that implement the model in the local infrastructure
  • Implement and run the Department common analysis tools to estimate
    forecast quality and metrics for the relevant drivers of predictability
  • Engage with climate service development activities
  • Compare the results with those from a range of available forecast systems


  • Education
    • Masters or PhD in atmospheric science, applied mathematics, engineering, fluid dynamics or in a related discipline
  • Essential Knowledge and Professional Experience
    • Demonstrated ability to handle experimental set ups that address specific climate modeling problems
    • Knowledge of handling large datasets, and a minimum knowledge of NetCDF encoding
    • Programming skills: scripting (e.g. bash, python), fortran (desired, but not indispensable), data analysis software (e.g. CDO, NCO, R, Python, NCL)
    • Proficiency in written and spoken English at scientific level
    • Proven ability to prepare and submit manuscripts to peer-review journals
  • Additional Knowledge and Professional Experience
    • Experience in ocean/atmosphere modelling (or environmental modelling)
    • Experience in HPC use and parallel computing (multi-threaded applications)
    • Knowledge of version control systems (git, svn, cvs...)
    • Interest and capacity in participating in the writing and, when possible, leading the preparation of research and computing proposals
    • Interest in tutoring and/or advising master and PhD students
  • Competences
    • Highly collaborative spirit and ability to work as part of a large, strongly-coordinated team and to continuously share both knowledge and tools
    • Capacity to respect time constraints


  • 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, tickets restaurant, private health insurance, fully support to the relocation procedures
  • Duration: Temporary - One year plus two more years extension depending upon performance renewable
  • 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: 1 May 2020

Applications Procedure

All applications must include:

  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

  • A full CV in English including contact details


The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

Diversity and Equal Opportunity Employment

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.

Application Form

Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.