Research Engineer - Operational Air Quality Forecast | [Lo-156]

Job Reference: 447_24_ES_EMW_RE1/RE2 Position: Research Engineer - Operational air quality forecast (RE1/RE2) Closing Date: Monday, 16 September, 2024 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 now 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 RD into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
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 modeling, climate prediction and climate services in Europe.
The group contributes to various forecasting activities and develops and maintains the CALIOPE air quality system ("CALIdad del aire Operacional Para España").
The selected candidate will be part of the Models and Workflows team to contribute to various forecasting activities.
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.
Interact with atmospheric composition scientists to understand processes and model configuration.
Maintenance of the current operational air quality forecasting systems and development of new features.
Requirements: Education: Bachelor in Meteorology, Physics, Computer Science, Mathematics, or a related discipline.
Master's degree will be valued.
Essential Knowledge and Professional Experience: Knowledge about the development and execution of scientific applications on parallel computers.
Experience with UNIX/LINUX environments.
Experience in Python programming and/or scripting languages.
Experience in version control in a collaborative environment.
Additional Knowledge and Professional Experience: Previous experience with NWP or climate modeling.
Familiarity with scientific workflows on large HPC systems.
Previous knowledge or experience with continuous integration tools.
Understanding of HPC computer architecture issues.
Previous experience in scientific software and tools.
Familiarity with coding and documentation best practices will be valued.
Competences: Capacity to interact and build strong relations with both Earth and Computer scientists.
Ability to take the initiative, prioritize, and work under set deadlines.
Excellent problem-solving skills with a proactive approach.
Ability to work both independently and within a team.
#J-18808-Ljbffr