Job Reference
507_25_ES_AC_R2
Position
Postdoc researcher on aerosols modeling and data assimilation (R2)
Closing Date
Saturday, 23 August, 2025
Reference: 507_25_ES_AC_R2
Job title: Postdoc researcher on aerosols modeling and data assimilation (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, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing 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 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.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented 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.
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.
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.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented 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.
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.
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
We are looking for an enthusiast researcher to join the Atmospheric Composition (AC) group within the Earth Sciences department at the BSC-CNS. The AC group is currently composed of about 50 people among researchers, engineers and students of different nationalities. It aims at better understanding and predicting the spatio-temporal variations of atmospheric pollutants along with their effects upon air quality, weather and climate. This is addressed through the continuous development and application of numerical models over multiple scales, from weather to climate and from global to urban scales.
The AC group develops and maintains its own forecast model MONARCH, which is a coupled meteorological-chemistry model that can be run at global and regional scales to simulate gaseous chemistry and aerosols plus their feedbacks on radiation. MONARCH is also coupled to a data assimilation scheme for gases and aerosols that is used to initialize forecasts or produce reanalyses of the atmospheric composition. The AC group operates several operational forecasting systems in the framework of the World Meteorological Organization Sand and Dust Storm Advisory System (SDS-WAS, https://dust.aemet.es), the Copernicus atmospheric monitoring services (CAMS, https://atmosphere.copernicus.eu), the Spanish air quality forecasting system CALIOPE (https://caliope.bsc.es), and the International Cooperative for Aerosols Predictions (ICAP). The group is also involved in routine monitoring of the CAMS global prediction system within the CAMS2_82bis project and develops open-source in-house tools to evaluate models against a wide range of surface and satellite measurements.
The successful candidate will join the Data Assimilation Forecasting and Application team of the AC group and contribute to the activities of a team of researchers aiming at: i) evaluating aerosols and air quality predictions using in-situ and remote sensing observations ii) improving models prediction skills. These activities will be carried in the framework of national and international projects in which the team is currently involved. Possible topics of research will be defined based on the candidate’s background and experience, and can cover areas such: assimilating new satellite observations and developing corresponding observation operators codes, investigating trends within aerosols reanalyses and observational datasets, developing new capabilities within the MONARCH aerosols data assimilation system.
The AC group develops and maintains its own forecast model MONARCH, which is a coupled meteorological-chemistry model that can be run at global and regional scales to simulate gaseous chemistry and aerosols plus their feedbacks on radiation. MONARCH is also coupled to a data assimilation scheme for gases and aerosols that is used to initialize forecasts or produce reanalyses of the atmospheric composition. The AC group operates several operational forecasting systems in the framework of the World Meteorological Organization Sand and Dust Storm Advisory System (SDS-WAS, https://dust.aemet.es), the Copernicus atmospheric monitoring services (CAMS, https://atmosphere.copernicus.eu), the Spanish air quality forecasting system CALIOPE (https://caliope.bsc.es), and the International Cooperative for Aerosols Predictions (ICAP). The group is also involved in routine monitoring of the CAMS global prediction system within the CAMS2_82bis project and develops open-source in-house tools to evaluate models against a wide range of surface and satellite measurements.
The successful candidate will join the Data Assimilation Forecasting and Application team of the AC group and contribute to the activities of a team of researchers aiming at: i) evaluating aerosols and air quality predictions using in-situ and remote sensing observations ii) improving models prediction skills. These activities will be carried in the framework of national and international projects in which the team is currently involved. Possible topics of research will be defined based on the candidate’s background and experience, and can cover areas such: assimilating new satellite observations and developing corresponding observation operators codes, investigating trends within aerosols reanalyses and observational datasets, developing new capabilities within the MONARCH aerosols data assimilation system.
Key Duties
- Contribute to the development of in-house tools for analysis, visualization and evaluation of model runs against surface and satellite measurements.
- Contribute to the routine evaluation of aerosols and air quality forecasts products from MONARCH and Copernicus Atmosphere Monitoring Service.
- Lead projects deliverables and represent the team in national and international projects meeting.
- Contribute to code documentation, scientific publications, and technical reports.
- Propose and assess new model configurations for yearly upgrades, monitor the e-suites experiments and interact with the team to ensure successful operational deployments.
- Coordinate the production of the MONARCH mineral dust reanalysis.
- Conduct original research on aspects related to aerosols forecasting.
Requirements
- Education
- A doctoral degree in the field of atmospheric sciences or related disciplines.
- Essential Knowledge and Professional Experience
- Demonstrated experience in remote sensing of aerosols and/or retrieval algorithms development.
- Established record of scientific/technical publications in the above fields.
- Demonstrated experience with Python and/or Fortran languages, ideally in parallel computation environments.
- Experience in collaborative code development and the use of version control systems.
- Experience working in Unix/Linux environments.
- Additional Knowledge and Professional Experience
- Experience with aerosols modeling.
- Experience with operational forecasting and/or data assimilation.
- Experience in coordinating small-medium projects.
- Competences
- Very good interpersonal skills.
- Excellent written and verbal communication skills.
- Ability to take initiative, prioritize and work under set deadlines.
- Ability to work both independently and within a team.
Conditions
- The position will be located at BSC within the Earth Sciences Department
- We offer a full-time contract (37.5h/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: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- 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: September 2025
Applications procedure and process
All applications must be submitted via the BSC website and contain:
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- A full CV in English including contact details
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. 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.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
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.
For more information follow this link
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.
For more information follow this link
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