Philip Stier

2024 Intelligent Earth student cohort

Last week we held the first @intelligentearth.bsky.social Intelligent Earth UKRI Centre for Doctoral Training in AI for the Environment student conference at University of Oxford. It was amazing to see the results of our students after just a few months of research. Stay tuned for more updates.

Very much looking forward to good discussions!

Wonderful to kick off the #RightHereRightNow United Nations Human Rights climate summit in Oxford tonight!

Still not too late to join!

www.ox.ac.uk/news-and-eve...

Climate processes Our research addresses physical climate processes in the context of anthropogenic perturbations to the Earth system as the underlying cause of climate change with an overall focus on the role of cloud...

We are looking for a postdoctoral researcher on high-resolution modelling of aerosol-cloud interactions to assess Marine Cloud Brightening (MCB) strategies and associated risks.

This position is part of the UKRI NERC project MACLOUD.

Closing date: 20 June 2025

www.physics.ox.ac.uk/research/gro...

Join our group as part of the Encode: AI for Science Fellowship. We're looking for technically proficient AI experts to advance our research through a 12-month collaboration.

This work will focus on a key uncertainty in climate change: clouds...

Deadline: 30 April

encode.pillar.vc/apply

Image description: Entrance of the EGU General Assembly venue with attendees and a sign reading ‘Welcome to EGU25’. Text read: " How to make the most of EGU25' by Jane Roussak. Read now."

We are just 2 days away from #EGU25, and navigating a huge #conference like this still sounds intimidating 🫣?

No worries- our General Assembly expert Jane Roussak has shared last-minute #protips to help you make the most of #EGU25 ✅!

🔗 Read more: egu.eu/5UUG5G

I'll be at @egu.eu 2025 next week in Vienna. You can catch me on Monday at 14:05 in Room 2.92 talking about "ClimateBenchPress: A Benchmark for Compression of Climate Data". I'll be at EGU the whole week so let me know if you want to chat about (neural) compression for climate or anything else!

Want to learn more about the EGU Atmospheric Sciences (AS) Division, make suggestions or ask any questions that you might have?

Stop by at the GA EGU booth in Hall X2 to meet the Atmospheric Sciences division team.

Mon, 28 Apr, 15:00–16:00 CEST!

The @egu.eu Atmospheric Sciences Division @egu-as.bsky.social has left twitter and is now on bluesky! Share the word and follow us!

Are you a #convener of a session at #EGU25? Are you a bit unsure of what to expect at the General Assembly? In this video, we have put together this simple #guide to walk you through some of the basic steps of #convening an oral session.

👉 Full video: egu.eu/2SN2TB

It's great to see all the exciting updates on #EarthCARE data at the 2nd @esa.int-JAXA EarthCARE In-Orbit Validation Workshop in Frascati! As a community it's time to embrace this opportunity @cleancloud-he.bsky.social ! And check out how big EarthCARE (as real-size poster on the right) really is!

EGU celebrates the diversity of people needed to create truly outstanding science The Union restates our support for a geoscience community that is diverse as an essential feature of conducting cutting edge, innovative science research. In order to support this, we share a list of ...

@egu.eu celebrates the diversity of people needed to create truly outstanding science!

www.egu.eu/news/1259/eg...

Interested in cloud-aerosol interactions in global km-scale climate models? Join our next seminar with Prof. Philip Stier @philipstier.bsky.social
📆 Wednesday 26 March at 1pm (CET) on Zoom and find out! epfl.zoom.us/j/6156668523...

Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval Satellite remote sensing is the primary source of global aerosol observations, providing essential data for understanding aerosol-climate interactions and constraining global climate models. To solve ...

In this paper, led by Paolo Pelucchi, we develop invertible neural networks (INNs) for retrieving AOD from spectral TOA reflectance. INNs can handle uncertainty in underdetermined inverse problems. From our iMIRACLI MSC Innovative Training Network www.imiracli.eu.
ieeexplore.ieee.org/document/108...

Our Intelligent Earth Centre for Doctoral Training in AI for the Environment @intelligentearth.bsky.social @universityofoxford.bsky.social is accepting applications!

> 20 fully-funded PhD studentships available. Deadline 8 January.

Virtual open day on 26 Nov: intelligent-earth.ox.ac.uk/how-apply