Research Engineer - Development of Weather HPC Software (RE2)

Job Reference



Research Engineer - Development of Weather HPC Software (RE2)

Closing Date

Saturday, 31 July, 2021
Reference: 200_21_ES_CES_RE2
Job title: Research Engineer - Development of Weather HPC Software (RE2)

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 700 staff from 49 countries.

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Context And Mission

Within the Earth Sciences Department of Barcelona Supercomputing Center (BSC), led by Prof Francisco Doblas-Reyes, the Computational Earth Sciences group is looking for a computer scientist to contribute to the development of new features in the land surface model (H-TESSEL) embedded in the IFS weather model, participate in future developments of the IFS and OpenIFS models, as well as to provide technical support to climate and computer scientists in the Earth Sciences department.

The candidate, in close collaboration with external (other European research institutes such as ECMWF) and internal (Earth Sciences) climate scientists, will develop a hybrid MPI/OpenMP parallel implementation of H-TESSEL [made by external collaborators], starting from the sequential code. The candidate will develop, test and run simulations using ECMWF infrastructure (HPC, workflow and project management) to validate the developments and produce scalability tests will support the improvement achieved with the parallel implementation. A computational analysis to evaluate the performance of the model will also be required.

The project will include at least one visit to ECMWF offices in Reading or Bonn for training and to share and evaluate current developments.

Key Duties

  • The applicant will develop, test and validate new solutions using a hybrid MPI/OpenMP approach in the IFS land surface model (H-TESSEL).
  • Participate in future developments of the IFS and OpenIFS weather numerical prediction models.
  • Provide technical support to climate and computer scientists from the Earth sciences department, working with the IFS and OpenIFS model.


  • Education
    • A Bachelor’s degree in Computer Science, Telecommunications, Physics or related disciplines is required.
  • Essential Knowledge and Professional Experience
    • Excellent computing skills in high-level computer languages (especially FORTRAN) and experience with UNIX/LINUX environments and scripting languages (e.g. bash, Python).
    • Experience in parallelization of codes, especially distributed paradigms as MPI and OpenMP.
    • Excellent programming skills to manage collaborative projects and experience with git and SVN.
  • Additional Knowledge and Professional Experience
    • Previous experience in a scientific area related to the position, in particular, climate or meteorological modelling.
    • Previous experience in HPC architecture and workflow managers.
    • Computer programming experience related to solving scientific computing problems involving the handling of very large projects.
  • Competences
    • Capacity to interact and build strong relations with both climate and computer scientists, including external partners from European research institutions.
    • Fluency in English.
    • Excellent written and verbal communication skills.
    • Ability to take initiative, prioritize and work under set deadlines and pressure.


  • 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 - 1 year 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: ASAP

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.
This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.

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.