Descripción de la oferta
Reference: 143_26_ES_CES_RE1
Job title: Research Engineer - Operational air quality forecast (RE1)
About BSC
The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC‑CNS) is the leading supercomputing centre in Spain. It houses MareNostrum, one of the most powerful super‑computers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now the hosting entity for EuroHPC JU, the Joint Undertaking that leads large‑scale 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 1000 staff from 60 countries.
Equity, Diversity and Inclusion
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. We are particularly interested in the strengths and lived experiences of women and under‑represented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under‑represented sex will be favoured.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
The Earth Sciences Department of the Barcelona Supercomputing Centre, led by Prof. Francisco Doblas‑Reyes, is one of the most active groups in air quality and atmospheric composition modelling, climate prediction and climate services in Europe.
The group contributes to various forecasting activities. MONARCH is the operational model of the first WMO Regional Specialized Meteorological Centre for Atmospheric Sand and Dust Forecast (the Barcelona Dust Regional Centre https://dust.aemet.es), and contributes to the International Cooperative for Aerosol Prediction (ICAP) and the Copernicus Atmosphere Monitoring Service (CAMS https://atmosphere.copernicus.eu) regional air quality forecasts. The group also develops and maintains the CALIOPE ("CALIdad del aire Operacional Para España") and CALIOPE‑urban air quality systems https://caliope.bsc.es, which provide high‑resolution air quality forecasts over the Iberian Peninsula, Catalonia and Barcelona using the in‑house emission model HERMES.
Within the Computational Earth Sciences (CES) group, the selected candidate will be part of the Models and Workflows team to contribute to various forecasting activities carried out in collaboration with the Atmospheric Composition (AC) and the Earth System Services (ESS) groups and will be responsible for maintaining and improving the current operational air quality forecasting systems.
Key Duties
- Implementation, execution and monitoring of atmospheric numerical models (MONARCH, WRF‑ARW, CMAQ) in a High‑Performance Computing environment.
- Interact with computational earth sciences scientists to improve the performance and reliability of the system, including communication with HPC user support at BSC.
- Interact with atmospheric composition scientists to understand processes and model configuration.
- Maintain the current operational air quality forecasting systems and develop new features as a result of user interaction.
Requirements
Education
- Having a Bachelor in Meteorology, Physics, Computer Science, Mathematics, or a related discipline.
- Having a Master’s degree will be valued.
Essential Knowledge and Professional Experience
- Knowledge of the development and execution of scientific applications on parallel computers.
- Experience with UNIX / LINUX environments.
- Experience in Python programming and/or scripting languages (bash, …).
- Experience in version control in a collaborative environment, including SVN or Git.
Additional Knowledge and Professional Experience
- Previous experience with NWP or climate modelling and/or operations.
- Familiarity with scientific workflows on large High Performance Computing (HPC) systems, including parallel programming techniques and workflow‑managers.
- Previous knowledge or experience with continuous integration tools (e.g., Jenkins).
- Understanding of HPC computer architecture issues.
- Previous experience in scientific software and tools (R, Python Numpy and Scipy, …).
- Familiarity with coding and documentation best practices and standards will be valued.
Competences
- Capacity to interact and build strong relations with both Earth and Computer scientists.
- Ability to take the initiative, prioritise and work under set deadlines and pressure.
- Excellent problem‑solving skills with a proactive approach.
- Ability to work both independently and within a team.
- Capacity to work and communicate in an international and interdisciplinary working environment.
Conditions
- Position located at BSC within the Earth Sciences Department.
- Full‑time contract (37.5 h/week), 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: 22 days of holidays + 6 personal days + 24th and 31st of December per the collective agreement.
- Salary: Competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona.
- Starting date: ASAP.
Application Procedure and Process
All applications must be submitted via the BSC website and contain a full CV in English including contact details, a cover/motivation letter in English that states the specific area and topics the applicant wishes to be considered for, and two references for further contact. Applications without this document will not be considered.
Development of the Recruitment Process
The selection will be carried out through a competitive examination system ("Concurso‑Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training and other professional information relevant to the position. 40 points.
- Interview phase: The highest‑rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills and professional experience related to the position, as well as the required personal competencies, will be evaluated. 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
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