RIDR, RISE DL Research Group

RIDR, RISE DL Research Group

Foundational and applied machine learning for the Earth

Welcoming our new RIDR group member Frida!

less than 1 minute read

Published:

We’re happy to welcome Frida Heskebeck to the group! Frida is soon-to-be-defended PhD within Automatic Control (from Lund University) who will work on AI for Sciences within the group.

During her PhD, she has worked on machine learning for EEG based Brain-Computer interfaces; see for example Frida’s scholar for more on her research.

You May Also Enjoy

Paper accepted at AAMAS 2026!

less than 1 minute read

Published:

The paper DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments has been accepted to AAMAS 2026! Code and camera-ready paper will soon be available.

Grant obtained from SLU Grogrund

less than 1 minute read

Published:

We’re glad to announce that we have obtained funding from SLU Grogrund for the project Breeder co-pilot - Optimizing plant breeding with AI. Aleksis from the RIDR group will lead an AI-centric work package, as well as be co-supervisor for an industrial PhD student at Lantmännen (main supervisor at SLU).

Master’s thesis projects in AI for Earth observation, ecology, and bioacoustics

3 minute read

Published:

The RIDR (RISE Deep Learning Research) group is offering several exciting Master’s thesis opportunities for students passionate about applying artificial intelligence to real-world ecological challenges. These projects offer a chance to work with unique datasets, collaborate with interdisciplinary teams, and contribute to impactful research with the potential for publication.