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.

What you will do:

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), meteorological reanalysis datasets and potentially ground-based measurements.

In the coming months, you would be focusing on:

• reviewing the literature and identifying the most promising approach(es) (e.g. machine learning, box model first-principle). Some references are shared below;
• implementing selected models using Python, R or any other language of your choice if justified by the task at hand;
• devising validation procedures and assess models accuracy; and
• if of interest, publishing methodology and results.

Depending on your skills and interests, another part of your work might entail supporting our other scientific computing and data projects.

Job Qualifications:

We are looking for candidates who have:

• demonstrable experience with advanced spatial analysis;
• advanced command of R, Python (e.g. numpy, xarray), shell scripting, unix command line, and git;
• strong knowledge of remote sensing principles as well as familiarity with meteorological and remote sensing datasets;
• capacity to deploy models on cloud infrastructure; and
• knowledge of air quality science is preferred, but not required.

About your character:

• you are constantly eager to learn; and
• you are detail-oriented and organized, and someone who takes pride in tidy and well-documented code.

What we can offer you:

• One-year contract - or - project-based (depending on your preference)
• A remote & time-flexible working environment
• Remuneration based on skills & experience, and competitive with standard pay
• A meaningful and potentially very impactful mission
• Health insurance
• Membership to a co-working space

APPLY:

https://energyandcleanair.org/jobs/