Collaborative Innovation Network

CIN is a global network of researchers and innovators by ESA Φ-lab, advancing pioneering Earth Observation solutions.

[Collaborative Innovation Network @ESAPhilabCIN]

📡 June Φ-talk | 10 June · 14:00 CEST
Konrad Schindler (ETH Zurich) on foundational AI models for 3D point clouds.
Live on Microsoft Teams
👉https://t.co/Yo6rutrDO6

#PhiTalks #CIN #EO

[Collaborative Innovation Network @ESAPhilabCIN]

🔭 𝐕𝐚𝐜𝐚𝐧𝐜𝐲 | 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐅𝐞𝐥𝐥𝐨𝐰 — 𝐀𝐈 𝐟𝐨𝐫 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐂𝐥𝐨𝐮𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐢𝐧 𝐒𝐩𝐚𝐜𝐞
ESA Φ-lab. PhD in AI, CS, Aerospace or related field.
Apply: https://t.co/dWXlNFuylV
#AutonomousAI #EO #SpaceTech

[Collaborative Innovation Network @ESAPhilabCIN]

🔭 𝐕𝐚𝐜𝐚𝐧𝐜𝐲 | 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐅𝐞𝐥𝐥𝐨𝐰 — 𝐎𝐧𝐛𝐨𝐚𝐫𝐝 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐟𝐨𝐫 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐂𝐥𝐨𝐮𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐢𝐧 𝐒𝐩𝐚𝐜𝐞
PhD in Electronics, CS, AI or related field.
Apply: https://t.co/M8MsaMszIb
#SpaceTech #EO

[Collaborative Innovation Network @ESAPhilabCIN]

📡 Join us for a new Φ-talk on 27 May. Johannes Jakubik from IBM Research Europe will present his work on learned quantisation for multimodal Earth observation foundation models, including TerraMind. 👉 Register here: https://t.co/edW6WyGLpA #EO

[Collaborative Innovation Network @ESAPhilabCIN]

📡 Join us for a new Φ-talk on 27 May. Johannes Jakubik from IBM Research Europe will present his work on learned quantisation for multimodal Earth observation foundation models, including TerraMind. 👉 Register here: https://t.co/edW6WyGLpA #EO

[Collaborative Innovation Network @ESAPhilabCIN]

🛰️ 𝐎𝐩𝐞𝐧 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐄𝐒𝐀-𝐞𝐥𝐢𝐠𝐢𝐛𝐥𝐞 𝐬𝐭𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫𝐞𝐝 𝐄𝐒𝐀 𝐬𝐮𝐩𝐩𝐥𝐢𝐞𝐫𝐬. All the details are available here: https://t.co/ogap1nxPXP

#ESAPhilab #EarthObservation #AgenticAI #DecisionIntelligence #AI #OpenCall #ITT

[Collaborative Innovation Network @ESAPhilabCIN]

🔭 ESA Φ-lab is hiring 3 Research Fellows (PostDoc) in AI × Earth Observation, at Frascati, Italy.

Topics: autonomous cloud computing in space, explainable AI for EO, and onboard data handling.
PhD required.

Apply → https://t.co/361LlkQpPT

#ESAPhilab #EarthObservation #AI

[Collaborative Innovation Network @ESAPhilabCIN]

🛰️ Φ-talk tomorrow, May 13 - Beyond Black Boxes: Physics-based AI for Interpretable SAR-Based Retrieval Models
14:00 CEST | Live on Microsoft Teams
👉 https://t.co/P2ECnCouUJ
#PhiTalks #EarthObservation #SAR #ESA

[Collaborative Innovation Network @ESAPhilabCIN]

🛰️ The latest ESA Φ-Lab CIN talk is now on YouTube.

Aravind Ravichandran from TerraWatch Space on the intelligence gap in Earth Observation: onboard processing, GeoAI, and what scalable Earth intelligence actually requires.

▶️ https://t.co/VmiXlfXUGi

#EO #GeoAI #AI4EO #ESA

[Collaborative Innovation Network @ESAPhilabCIN]

🗓️ ESA Φnnovation Summit: deadline extended to 9 April!

Got a project in #EO or transformative tech?
Submit your abstract to present on stage or as a poster.
Also open: proposals for side events.
👉https://t.co/GTWca9KGm4
🌐 Event: https://t.co/FplRtmrgJ7

#SpaceTech

[Collaborative Innovation Network @ESAPhilabCIN]

📡 Φ-talk | 1 April · 14:00 CEST
Petabytes of satellite data — but are we solving the intelligence problem?
Aravind Ravichandran (TerraWatch Space) on edge computing, GeoAI, and scalable Earth intelligence.
🔗 https://t.co/Y4qV7xhHes

[Collaborative Innovation Network @ESAPhilabCIN]

🛰️ Upcoming Φ-talk: Sustainable Training of Foundation Models for EO
25 March · 14:00 CEST · Microsoft Teams
Sébastien Lefèvre & Pierre Adorni from l’Université Bretagne Sud.
🔗 https://t.co/abCzvb9xVG

#PhiTalk #EarthObservation #AI4EO #ESA

[Collaborative Innovation Network @ESAPhilabCIN]

🛰️ 𝐍𝐞𝐱𝐭 Φ-𝐭𝐚𝐥𝐤: 𝐒𝐀𝐑 𝐃𝐞𝐬𝐩𝐞𝐜𝐤𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝟏𝟖 𝐌𝐚𝐫𝐜𝐡 · 𝟏𝟒:𝟎𝟎 𝐂𝐄𝐒𝐓

Emanuele Dalsasso (Inria Grenoble) presents MERLIN, a self-supervised speckle-suppression method for SAR images.
🔗 https://t.co/xJ6A3ZgCEv

#AI4EO #ESA

[Collaborative Innovation Network @ESAPhilabCIN]

Our latest Φ-talk is now on YouTube.

@ArthurOuaknine on forest monitoring, remote sensing, and generalisation in ML.
Watch 👇
https://t.co/nMnzqNg4gG

#ESAPhilab #RemoteSensing #MachineLearning #EarthObservation

[Collaborative Innovation Network @ESAPhilabCIN]

🎥 Φ-talk recording now available
Discover how self-supervised learning leverages temporal & multi-sensor satellite data to perform with limited labels, and scale for EO.

📺 https://t.co/WxS5JNNaLY

#PhiTalk #EarthObservation #AI4EO #ESA #CIN

[Collaborative Innovation Network @ESAPhilabCIN]

📢 Deadline extended! Binary Neural Networks for Efficient Onboard AI in Earth Observation.

📅new deadline: 13 March 2026, 23:59 CET
🔗https://t.co/lV2uDIRQUw

Open to PhD candidates & postdocs in AI, Computer Science, Embedded Systems & related fields.
#AI #EarthObservation

[Collaborative Innovation Network @ESAPhilabCIN]

🚀 Φ-talk | Learning to Generalise Across Modalities & Scales for Forest Remote Sensing
4 March 2026 | 14:00 CEST | Arthur Ouaknine
AI for forest monitoring: multimodal learning, hyperspectral SSL, drone-based tree detection & cross-scale transfer.
🔗 https://t.co/XfqcIj9v2u
#EO

[Collaborative Innovation Network @ESAPhilabCIN]

GeoSANE: Learning Geospatial Representations from Models
🎥 Now on YouTube: https://t.co/P1nGo68mM5

In a Φ-talk hosted by the ESA Φ-Lab Collaborative Innovation Network, Prof. Damian Borth introduces a model-centric shift for GeoAI.

#GeoAI #RemoteSensing #FoundationModels #ESA

[Collaborative Innovation Network @ESAPhilabCIN]

📢 March Φ-talks | #RemoteSensing & #ML

🔹 4 Mar (14:00 CEST): Arthur Ouaknine on generalisation across sensors & scales for forest monitoring.
🔹 18 Mar (14:00 CEST): Emanuele Dalsasso on self-supervised SAR & MERLIN.

Register: https://t.co/nyQoZyxH0c

#CIN #PhiTalks #EO

[Collaborative Innovation Network @ESAPhilabCIN]

🚀 Φ-talk: Training & Deploying Pre-trained Models for Remote Sensing Data
🗓 18 Feb 2026 | 14:00 CEST | Live on MS Teams
🎙 Gabriel Tseng (Ai2) on self-supervised learning for satellite data, multi-sensor models & scalable deployment.
🔗 Register: https://t.co/yM1IPcLEzn

#EO