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AI-based compression of satellite data and images - Ref. 94/26/IR

EURAXESS hosting organisation · عدة بلدان أوروبية

The project deals with AI-based compression of satellite data and images. The compression process can use an autoencoder-based approach or a prediction-based approach; the former is more suitable for high-compression applications, while the latter is well suited to high-quality applications. The project specifically addresses AI-based models performing compresison directly onboard the satellites. This requires to develop models that are compatible with the memory and computation constraints of computing platforms available for satellites, and requires to adapt the design to deployment on hardware suitable for embedded systems.

At a glance

Where: Multiple European countries
Deadline: 2026-09-25
Funding: Funding described on programme page
Board: EURAXESS

Who can apply

Criteria stated by the funder on the official source.

Nationality

EURAXESS vacancies rarely print a nationality table. Confirm whether applicants from Tunisia can apply and whether a residence/work permit pathway exists on the employer page.

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Education

Academic requirements are listed on the EURAXESS vacancy; match your degree level to the stated profile (often R1–R4).

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Funding and what it does not cover

Funding details were taken from the official programme page text. Confirm the current call before applying.