Context And Mission
The Department of Earth Sciences of the Barcelona Supercomputing Centre-Centro Nacional de Supercomputación (BSC-CNS), BSC-ES henceforth 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 ESS is looking for a Junior Researcher Engineer who is willing to apply state-of-the-art AI methods to downscale Air Quality information based on regional data and monitoring stations. The role will require the use of deep learning to process satellite and mesoscale model data. 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; create graphs and reports.
* Paper writting
Requirements
* Education
o AI degree or related disciplines
* Essential Knowledge and Professional Experience
o Previous experience working with air quality data
o Experience with AI methods in R or Python
o Ability to work in a professional environment and in a multidisciplinary research team.
* Additional Knowledge and Professional Experience
o Experience in model development and application in parallel computing environments will be valued.
o Demonstrated verbal communication and technical presentation skills.
o Fluency in English.
* Competences
o 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: 20/06/2026