Research Engineer - AI Support for Air Quality Services

Job Reference

307_26_ES_ESS_RE1

Position

Research Engineer- AI Support for Air Quality Services (RE1)

Closing Date

Sunday, 19 July, 2026

Reference: 307_26_ES_ESS_RE1

Job title: Research Engineer- AI Support for Air Quality Services (RE1)

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.

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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

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 modeling, climate prediction and climate services in Europe. The Department comprises about 200 people, including scientists and technical staff. It is structured into five distinct but interacting research groups: Atmospheric Composition, Climate Prediction, Earth System Services (ESS), Global Health Resilience, and Computational Earth Sciences.

The candidate will work in the ESS group. The ESS group develops climate and air quality services, facilitating knowledge and technology transfer of state-of-the-art research at local, national, and international levels. The main purpose is to demonstrate the ongoing value of climate prediction services, atmospheric composition, and weather forecasting to society and key sectors of the economy, such as renewable energy, urban development, infrastructure, transport, insurance, health, and agriculture.

The Earth Sciences Services (ESS) is seeking a Junior Research Engineer to contribute to the development and application of state-of-the-art AI methods in support of the Air Quality Services team. The successful candidate will work at the interface of Earth Observation, environmental science, and machine learning, developing deep-learning approaches to analyse and integrate satellite observations, in situ measurements, and mesoscale model outputs.The role involves processing and harmonising multi-source geospatial datasets, training and evaluating AI models, and contributing to the development of innovative solutions for air quality monitoring and assessment. The position offers the opportunity to apply advanced AI techniques to real-world atmospheric and environmental challenges.

Successful candidates will benefit from the training program and the BSC-CNS staff benefits: an international multidisciplinary scientific environment, advanced research training, and advanced computational facilities. We encourage applications from highly motivated physicists, engineers and mathematicians (and related disciplines) with outstanding qualifications.

Key Duties

• Apply deep-learning algorithms to downscale air pollution patterns
• Multidisciplinary research, working with scientists and IT developers
• Analyze and evaluate model results against observations
• Paper and report writting
• Support research projects
  
  

Requirements

• Education
• AI degree or related disciplines
• Essential Knowledge and Professional Experience
• Previous experience working with air quality data
• Experience with AI methods in R or Python
• Ability to work in a professional environment and in a multidisciplinary research team.

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• Additional Knowledge and Professional Experience
• Experience in model development and application in parallel computing environments will be valued.
• Demonstrated verbal communication and technical presentation skills.
• Fluency in English.
• Competences
• Fluency in other European languages will also be valued.
  

Conditions

• The position will be located at BSC within the Earth Sciences Department
• We offer a full-time contract (35h/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 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: 01/09/2026
  
  

Applications 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 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 [email protected].

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

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