Atmospheric Composition Research Engineer

hace 1 mes

Barcelona, España Somm Excellence Alliance A tiempo completo

Context And Mission

The Department of Earth Sciences of the Barcelona Supercomputing Centre-Centro Nacional de Supercomputación (BSC-CNS), BSC-ES henceforth (bsc.es/earth-sciences) is one of the most active groups in air quality and atmospheric composition modelling, climate prediction and climate services in Europe. The department is currently composed of about 105 people, including technical and support staff, structured in four distinct but interacting research groups: Earth System Services (ESS), Atmospheric Composition (AC), Climate Prediction (CP) and Computational Earth Sciences (CES).

The AC group aims at better understanding and predicting the spatiotemporal variations of atmospheric pollutants along with their effects upon air quality, weather and climate. The group develops the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) and contributes to a variety of forecasting activities. The dust component of MONARCH runs operationally at the first WMO Regional Specialized Meteorological Center for Atmospheric Sand and Dust Forecast (i.e., the Barcelona Dust Forecast Center, BDFC), and contributes to multi-model ensemble forecasts both at the WMO Sand and Dust Storm Warning Advisory and Assessment System Regional Center (WMO SDS-WAS RC) for Northern Africa, the Middle East and Europe, and the International Cooperative for Aerosol Prediction (ICAP). Both WMO Regional Centers are co-hosted by BSC and the Spanish Meteorological Agency (AEMET). MONARCH is currently joining the Copernicus Air Quality Regional Production Service of the European Commission. The group also develops and maintains the CALIOPE air quality system (“CALIdad del aire Operacional Para España”), which provides high-resolution air quality forecasts over Europe and Spain using the in-house emission model HERMES.

The AC group interacts with the CES group on the optimization of model codes, pre
- and post-processing tools, and operational model settings, with the CP group on the links between atmospheric aerosols and climate, and with the ESS group to enhance the use of air quality products and services.

The Models and Workflows team is devoted to the research and development of methodologies and tools essential to efficiently use the variety of computing resources available at the BSC and in other HPC institutions. The team is composed of 16 members and has strong connections with the Performance and Data teams, as well as with the scientific groups.

Key Duties
- The applicant will provide technical support for both computational and atmospheric composition engineers and researchers to run experiments using workflow managers and different shell or python scripts.
- The applicant will further develop and optimize the in-house workflow manager tool to execute complex ensemble-based model configurations in a robust, flexible and computationally-efficient way
- The applicant will provide technical support to solve the problems found by other researchers and engineers and do the necessary tests to validate and verify all the features of each model
- The applicant will support other colleagues to include their own solutions into the set of tools developed and maintained by the Earth Sciences Department. The codes will be appropriately documented and updated using Git

**Requirements**:
Education
- Having a BSc in Computer Science, Physics, Mathematics or related discipline
- Essential Knowledge and Professional Experience
- Excellent computing skills and experience with UNIX/LINUX environments and scripting languages (e.g. bash, Python)
- Excellent programming skills to manage collaborative projects and experience with Git and/or SVN

Additional Knowledge and Professional Experience
- Previous experience in a scientific area related to the position, in particular, air quality or meteorological modelling (e.g. WRF, CMAQ) will be valued
- Previous experience in HPC architecture and workflow managers will be valued
- Previous experience in parallelization of numerical codes (e.g. MPI, OpenMP, CUDA) will be valued
- Previous experience in scientific software and tools (R, Python Numpy and Scipy,) will be valued
- Previous experience with continuous integration tools (e.g. Jenkins) will be evaluated
- Computer programming experience related to solving scientific computing problems involving the handling of very large projects

Competences
- Ability to take initiative, prioritize and work under set deadlines and pressure
- Ability to work both independently and within a team

**Deadline**: July 16, 2023
**Job category**: Engineer
**Area**: Maths, Experimental Sciences and Engineering

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