Oct 29, 2019

CybELE: EO/RS expert – Land damage

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CybELE: EO/RS expert – Land damage

CybELE is a start-up company that integrates satellite technologies including earth observation data with the legal environment to address the problem of environmental crimes. We combine all available geospatial information together with the relevant legal context to generate detailed environmental criminal activity reports that can be used in legal proceedings.

We are a company in evolution. In 2018 we were the winner of the Copernicus Masters Awards; we are now looking forward to rapid growth and are therefore expanding our team. Are you interested in our project activities? Are you experienced in working with satellite remote sensing, geographical information systems and spatial data analysis? Do you want to work in a challenging and high paced environment? If so, this may be the right position for you.

Position: Land Remote Sensing Analyst – Freelance

Location: Remote – Travel to meetings in some periods.

The successful candidate will have a MSc in satellite remote sensing, geographical information systems, spatial data analysis or a related discipline. Experience with earth observation data and image processing of multispectral, medium to high spatial resolution data to monitor vegetation, soil health and general environmental conditions is a prerequisite. Knowledge of satellite data time series analyses, ability to write scripts in Python, working with GIS tools and familiarity with using the EU Copernicus service and Cloud systems would be an asset. Moreover, the candidate will have strong analytical skills, the capability to learn and understand the broader context of a given task and a good command of English, both spoken and written.

The work will include identifying, sourcing and processing relevant earth observation data sets in order to assess land cover and vegetation health, identification of deforestation activities, location of illegal landfills and mining activities and their impact on land and water resources. A high degree of innovation is required in order to determine the most useful classification approaches and methods for identifying and characterising these activities. Moreover, the work will involve the development of appropriate and repeatable workflows for implementation in an operational system.

If you meet our requirements and are interested, please send us your CV and motivation letter by email to cybele.lawgical@gmail.com before November 2019.