Postdoc: Satellite-Based Biomass Burning Emissions Scientist

information; Leiden; Hybrid; EUR 58,000 - 70,000; Full time

Benefits offered by this job

End-of-year bonus

Holiday allowance

Pension scheme

Personal development

Parental leave

Training opportunities

Flexible working hours

Hybrid working

Job summary

SRON seeks a highly motivated postdoctoral scientist to investigate biomass burning emissions using satellite observations and atmospheric transport modeling. You will combine TROPOMI/MOPITT/Sentinel-5 data with inverse modeling to constrain emissions and study trends and events globally.

The role is based in Leiden within the Earth Science Group, collaborating with a team of researchers focusing on satellite observations, atmospheric modeling, and data science.

Qualifications

• PhD in atmospheric sciences or related discipline, with strong publication record.
• Experience in atmospheric transport modeling, satellite remote sensing, and inverse modeling.
• Strong programming and data analysis skills; experience with satellite observations of atmospheric trace gases.

Responsibilities

• Apply atmospheric inverse modeling to improve fire and other emission estimates.
• Conduct regional transport simulations with WRF-Chem at high resolutions.
• Study long-term trends and major wildfire events in different regions.
• Identify environmental and human drivers of biomass burning.
• Evaluate emission inventories against observations and inverse-model estimates.
• Publish results in top journals and present at conferences.

Skills

Atmospheric transport modeling

Satellite remote sensing

Inverse modeling

Programming

Data analysis

English proficiency

Education

PhD in atmospheric sciences

Tools

GEOS-Chem

TM5

WRF-Chem

Job description

SRON seeks a highly motivated postdoctoral scientist to investigate biomass burning emissions using satellite observations and atmospheric transport modeling. You will combine TROPOMI/MOPITT/Sentinel-5 data with inverse modeling to constrain emissions and study trends and events globally.

The role is based in Leiden within the Earth Science Group, collaborating with a team of researchers focusing on satellite observations, atmospheric modeling, and data science.