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Scientist
Fully remote (USA) / Half-time with benefits (40h/week)
Company
Geolabe (www.geolabe.com) is developing artificial intelligence tools for automated and fast analysis of satellite data. The company’s main activity is to propose state-of-the-art machine learning tools for satellite multispectral and hyperspectral data and satellite radar interferometry, with applications to the monitoring of greenhouse gas emissions, water resources, and ground stability.
Geolabe is supported by NASA and NSF in its effort to automatize the analysis of complex satellite imagery. We are a people-centric company that values inclusion and diversity, and believe in the potential of geodata to help mitigate the climate crisis. The team has strong academic roots and ties, and scientific freedom as well as the pursuit of scientific interests are encouraged.
About the Role
The team at Geolabe is developing algorithms tailored for the analysis and interpretation of satellite data. We rely on a variety of physical modelling, statistics, and machine learning approaches to derive actionable insights from noisy satellite data.
We are looking for applied scientists with backgrounds in geophysics, physics or data science to further improve and apply these approaches to the monitoring of key climate change drivers at scale.
Responsibilities
What You Bring
What Makes You Stand Out
Why Work at Geolabe
$100,000-$140,000 a year base pay, and discretionary incentives (bonus and equity).
Individual compensation will vary depending on qualifications and experience.
Job Application
Please include a cover letter of 1 to 3 pages describing your research so far, and your research interests in the future. Optionally, feel free to include your motivation for working at the interface between research and a climate tech startup.
Full Time
$81k-104k (estimate)
09/28/2023
06/27/2024
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