R&D Engineer Remote Sensing




Tuesday, February 28, 2023

Start Date

Monday, March 13, 2023

Job description
 develops technology to facilitate the transition to a more sustainable society and economy. One of the key technologies applied in this context is Remote Sensing. The Remote Sensing Unit of VITO celebrates next year its 25th anniversary but Remote Sensing has never been more fascinating than today. With the increasing number of satellites, drones, processing facilities and technologies like artificial intelligence, the opportunities with remote sensing are larger than ever. 

Meanwhile the Remote Sensing team of VITO counts more than 100 motivated scientists and IT engineers. To facilitate the growth of our ambitions we are looking for an extra colleague, more specifically a Remote Sensing scientist who wants to become an expert in land cover/land useapplications. There are also possibilities to become proficient in the field of Natural Capital Accounting which uses remote sensing as a crucial data source.

Your responsibilities
As part of a flexible team you will be working on projects for institutional clients like the European Commission, the European Space Agency, or UN bodies. Occasionally there could be commercial customers. Concerning the projects, you will operate in an international setting and take initiative to liaise with project partners of different consortia. Good communication skills with project partners, end-users and stakeholders are needed. The tasks should be executed with high degree of independency, though in close collaboration with the internal and external team members. In VITO you will report on the progress of your work to the Team lead of the Vegetation monitoring team, outside VITO you will communicate on your work in meetings with clients or partners. 

Job requirements
We are looking for an expert profile, creative and highly motivated with the following qualifications:

  • You have a Master or PhD degree in exact sciences, applied sciences, bioscience engineering, or agronomy; 
  • You have thematic background & knowledge in environmental sciences;
  • You have at least 5 years of hands-on experience in remote sensing research projects;
  • You have sound programming skills in Python, R or C++
  • You have proven expertise in remote sensing data processing, geo-information systems, statistics and big data analysis;
  • Expertise in applying machine learning techniques on remote sensing data is an asset;
  • Specific expertise in SAR Remote Sensing is an asset;
  • Excellent writing and presentation skills in English is key;
  • You have a strong interest to work in an international environment.