CREA (Centre for Research on Energy and Clean Air) is looking for a fully-remote Data Scientist, specialised in geospatial modeling and/or remote sensing to join us in our efforts to curb air pollution worldwide.
We are a new independent research organisation focused on revealing the trends, causes, and health impacts, as well as the solutions to air pollution. We use scientific data, research and evidence to support the efforts of governments, companies and campaigning organizations worldwide in their efforts to move towards clean energy and clean air. We believe that effective research and communication are the key to successful policies, investment decisions and advocacy efforts.
As part of our data team, you will be leveraging the latest remote sensing and modeling technologies to build accurate and timely pictures of air pollution, tracking air pollution sources and emission intensities.
This is an exciting opportunity to work within a flexible environment and support both public health and climate change causes. The impact of this work can be tremendous, facilitating remote detection of falsified data that could cost thousands of lives.
This role reports to our Data Lead.
CREA is a fully remote organization, with current team members in Europe and Asia.
As a data scientist & geospatial modeling / remote sensing specialist, your main responsibility would be to design, develop and put into production cutting edge models to identify important point source emissions of air pollutants (e.g. SO2 and NO2) and track their emission intensities in near real-time, using satellite-based sensors (e.g. TROPOMI), inversion modeling, meteorological reanalysis datasets and potentially ground-based measurements.
In the coming months, you would be focusing on:
Depending on your skills and interests, another part of your work might entail supporting our other scientific computing and data projects.
We are looking for candidates who have:
About your character:
These are examples of models you would grow familiar with and might want to build upon (available upon request if beyond paywall):