PhD Candidate: AI-based Emission Inverse Modeling from EO

Barcelona Supercomputing Center (BSC); Barcelona; On-site; EUR 26,000 - 34,000; Full time

Benefits offered by this job

Flexible working hours

Extensive training plan

Restaurant tickets

Private health insurance

Relocation support

Large holidays: 22 days + 6 personal +

Support to relocation procedures

Job summary

Barcelona Supercomputing Center (BSC) in Barcelona, Spain invites applications for a Predoctoral student (PhD) to develop AI-based inverse modelling methods using Earth Observation data and MONARCH simulations. The role focuses on NOx and other pollutants, leveraging MONARCH and HPC resources.

The position is a full-time, open-ended contract tied to the project budget, with starting date 01/11/2026. You will join an interdisciplinary team in Earth Sciences, collaborating across groups and

Qualifications

• Education MSc in computer science, Earth sciences, applied mathematics, physics, or related discipline.
• Essential Knowledge and Professional Experience Good experience in EO and atmospheric sciences.
• Good background in deep learning, machine learning for inverse problems.
• Excellent programming skills in Python.
• Experience working in HPC environment.
• Experience with satellite remote sensing data of atmospheric composition (e.g., TROPOMI) will be valued.
• Experience in atmospheric chemistry, emission inventories or chemistry-transport modelling will be valued.
• Fluency in English.

Responsibilities

• Develop and implement AI-based inverse modelling frameworks to estimate pollutant emissions from Earth Observation data and MONARCH simulations.
• Process and exploit satellite observations (e.g., TROPOMI/Sentinel-5P) together with ground-based measurements and bottom-up emission inventories (e.g., CAMS-REG, HERMES).
• Train and validate models using synthetic MONARCH experiments.
• Collaborate closely with atmospheric scientists and emission modellers, and participate to the intellectual life of the group.
• Present model developments and research findings, contribute to scientific publications, and other duties as assigned.

Skills

Python programming

Deep learning

EO data handling

HPC experience

Education

MSc in computer science or Earth sciences

Tools

Python

Job description

Barcelona Supercomputing Center (BSC) in Barcelona, Spain invites applications for a Predoctoral student (PhD) to develop AI-based inverse modelling methods using Earth Observation data and MONARCH simulations. The role focuses on NOx and other pollutants, leveraging MONARCH and HPC resources.

The position is a full-time, open-ended contract tied to the project budget, with starting date 01/11/2026. You will join an interdisciplinary team in Earth Sciences, collaborating across groups and