This 3-day event invites PhD students and PDRAs from across the UK to collaborate on AI-driven solutions for Carbon Capture and Storage. Work alongside fellow researchers to tackle real-world challenges in material discovery, subsurface flow modelling, and CCS policy and economics, with mentorship from experts at Heriot-Watt University and Imperial College London. You can learn more on the event webpage.

Key Highlights:

📅 Event Dates: Hackathon (26-28 March), optional ECO-AI Workshop (24-25 March)

📍 Venue: Heriot-Watt University, Edinburgh
💰 Funding: £300 travel and accommodation support for eligible, successful applicants

This is a two-part event; prior to the hackathon, you will have the opportunity to attend the ECO-AI workshop on Monday 24 March & Tuesday 25 March to engage in informative workshops around CCS and the ECO-AI project.

How to Apply:
Submit Your Application
Complete the EDI Form
🗓 Deadline: Monday 27 January 2025 (early applications are encouraged)

Who Should Apply?
PhD students and early career researchers interested in AI applications in environmental sciences, particularly CCS technologies. No advanced machine learning experience is required – researchers at all levels are welcome!

Challenge Tracks:
CO₂ Storage: Fast prediction of two-phase flow in porous media using deep learning.
CO₂ Capture: Predicting properties of amine molecules for carbon capture using AI.
CCS Policy & Economics: LLM-driven analysis of climate policies and SDG alignment.

Why Participate?

• Gain hands-on experience with tools, data, and platforms for deep learning experiments.
• Collaborate with peers beyond your institution.
• Receive mentorship from leading experts in AI and CCS technologies.
• Showcase your work to data scientists, industry experts, and ECO-AI collaborators.
• Enjoy food and beverages provided throughout the event.

Please share with your networks or anyone who might be interested!

For any questions, contact aw2073@hw.ac.uk.