Postdoc position -- Machine Learning for Earth-Systems Modelling | Universität Tübingen Are you excited about earth systems modelling, climate research, and machine learning? Join us as a

#AI4PEX postdoc position available at @unituebingen.bsky.social developing #MachineLearning approaches to improve #EarthSystemModels!

👉Join our team: buff.ly/stIFCpw

#Postdoc #ClimateResearch #ResearchOpportunity

⏳ Counting down to the #AI4EO Winter School — March 16–20 2026, Athens 🇬🇷
AI, climate extremes & collaboration ahead. One week left to register! 👉 buff.ly/HZcLiTM

#AIWinterSchool2026 #AI4PEX #MeDiTwin #ClimateAction #Networking #CINEA

🧠 Meet the Zero To Hero tutors behind the AI Winter School!
Experts in #AI, #EO & climate analytics guiding hands-on sessions.

📅 March 16–20, 2026, NTUA Athens Campus, Greece
🔗 Registration now open - buff.ly/HZcLiTM

#AIWinterSchool2026 #AI4PEX #MeDiTwin #Mentorship #CapacityBuilding

💡We’re thrilled to announce the Joint Winter School “AI for Earth Hazards & Climate Extremes”!

📍 NTUA Athens | 📅 March 16–20 2026

A week where AI meets climate science. Stay tuned!

#MeDiTwin #AI4PEX #AIWinterSchool2026

🌍 Earth system models have come a long way. #AI4PEX improves cloud formation, ocean-atmosphere interactions, and biological processes in the carbon cycle to get a better grip on what the future holds and guide policy decisions.

👉 Stay tuned for exciting updates!

#ClimateScience #Innovation #ESM

🚀 First GA for #AI4PEX in Lund!
Last month partners from across Europe met to advance #EarthSystemModels with #AI, #ML & #EarthObservation - tackling ✨ Benchmarking 🛠 Syncing milestones 🌍 Boosting outreach 🤝 Hands-on collaboration.

Big thanks to Lund University for hosting!
👉 www.ai4pex.org

Fourth and last day of our #AI4PEX GA is again reserved for workshops. Moderated by Fangfei Lan from UNIL we spend the morning focusing on Neural Operator Learning. In the afternoon, we build our own hybrid model using the SINDBAD modeling framework, led by Nuno Carvalhais from MPG-BGC.

#CINEA

#AI4PEX GA Day 2: starting with in-depth scientific talks and posters on our main achievements so far, before discussing in more detail next steps for the atmosphere, ocean and land teams.
In the evening we went to Kulturen Open Air Museum, immersing in the history of the region.

#CINEA #HorizonEU

Today we're kicking off the 1st #AI4PEX General Assembly in Lund, Sweden, hosted by @lund-university.bsky.social. Within the next 4 days we will talk about achievements, discuss methods and plan research of next year, while getting closer, building trust and turning our team into a project family.

#AI4PEX & #EXPECT joining forces
Fantastic momentum at #EGU25! Teams from two #HorizonEU projects came together to explore synergies and plan future collaboration.

Next steps? We're aiming for a joint hackathon and an ECR meeting to build stronger connections.

#CINEA_EU #ESMs

Research Associate for the Project “AI4PEX” Ocean carbon cycle for contribution to CMIP7 § 28 Subsection 3 HmbHG

@uni-hamburg.de is hiring a Postdoc for the #AI4PEX project focusing on biogeochemical impacts of ocean #ExtremeEvents with high-resolution #ESMs and #MachineLearning.

Start date: 01.04.2025 (3 years)
📅 Application deadline: 06.02.2025

👉 More info and application:

#AI4PEX research focus 9: Coupling.

We will couple, tune and evaluate the new #ML -enhanced component models of the land, ocean and atmosphere to #ESMs as more realistic component models are the first step towards improved projections of the future #EarthSystem.

#AI4PEX research focus 8: Projections

AI4PEX aims to deliver improved #climateprojections of changes in the regimes of #ExtremeEvents and associated impacts from the next generation of #ESMs #ArtificialIntelligence -enhanced and grounded on #EarthObservations.

#AI4PEX research focus 6: Uncertainty Quantification

To overcome limitations of traditional manual calibration methods, such as high computational costs and slow iterative processes, we improve uncertainty quantification by leveraging on Perturbed Parameter Ensemble.

#EarthSystemModels #Emulation

#AI4PEX research focus 5: Land

We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2; improve the vegetation response to water and heat stress, and the temperature sensitivity of decomposition in soils.

#AI4PEX research focus 4: #Ocean

We will improve the representation of ocean-related feedbacks on climate dynamics by
(I) joint reconstruction of ocean heat and C fluxes
(II) parameterization of ocean mesoscale processes (eddies)
(III) emulation of ocean biogeochemistry

#AI4PEX research focus 3: Atmosphere

We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related processes that occur on scales smaller than the ESMs’ model grid.

#AI4PEX research focus 2: Model Development

To develop better #EarthSystemModels we will expand the use of #EarthObservation in combination with #MachineLearning. We focus on explainability of #AI models and causality to better identify model-observations mismatch.

#AI4PEX research focus 1: #EarthObservation

We leverage existing in-situ observations and EO data-streams to generate new upscaled #MachineLearning -based products, and cross-check with the Copernicus land, ocean and atmospheric datasets.

#EarthSystemModels #climatescience

How does #AI4PEX plan to overcome uncertainties in #ESMs and improve #climateprojections in the future? Over the next days, we will introduce you to the main research tasks of our project.

🚀 Stay tuned!

🎄 #AI4PEX wishes you a wonderful holiday season and a prosperous New Year!

#AI4PEX is a transnational #ClimateResearch project funded by #HorizonEU #CINEA.

We will deliver enhanced knowledge on the Earth System by integrating #EarthObservation, #ArtificialIntelligence and #MachineLearning into Earth System modelling.

#ClimateResearch #EarthSystemModels