R&D Professional AI for Earth Observation

Deadline 21 novembre 2026

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Organisation: VITO Remote Sensing

Job description

VITO 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 celebrated last 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.

Meet the team:

The Applied GeoAI and Embedded Solutions (AGES) team develops robust AI-driven solutions that power remote sensing, environmental monitoring, and security applications worldwide.

The AI Engineer will work on a variety of applications in the fields of environmental monitoring and security, utilizing the latest AI technologies to develop solutions that address the unique challenges and opportunities of each domain.

We offer a challenging and dynamic work environment, with opportunities for personal and professional development. If you are passionate about AI and want to make a difference in the field of Earth Observation, please apply for this position.

What’s the job about?

  • Develop and implement AI algorithms and techniques for Earth Observation applications, ranging from prototypes to pre-operational workflows.
  • Work in a multidisciplinary team with experts in EO, GIS, computer science, and engineering to design, develop, and test AI solutions.
  • Collaborate with international R&D and industrial partners and customers from the European Space Agency, European Commission, federal and regional governments and companies.
  • Keep up to date with the latest advances in AI, computer vision, machine learning, and deep learning techniques and apply them in innovative ways to solve EO problems
  • Develop and apply multi-modal learning techniques to integrate data from various sources such as optical, SAR, hyperspectral and thermal data, IOT and textual information.
  • Contribute to the coordination and management of R&D projects, including planning activities, following up on progress and deliverables, and coordinating with project partners and customers.
  • Communicate results and progress to team members, partners, and customers in a clear and concise manner