We are now launching an exciting new experimental activity at the very start of the climate innovation pipeline: the Climate Solutions Catalyst. The objective of the programme is to test the hypothesis that the UK university sector has already made discoveries and inventions that can help tackle climate change, if only they can be found and supported properly. Working collaboratively with as many other UK universities as possible, and a full range of stakeholders, this two-year trial programme will try and unearth neglected climate solutions from the full breadth and depth of the UK research community, and then test potential support offers for these solutions and the researchers and innovators that discovered them.
We are looking for a talented machine learning research fellow interested in applying their skills to unlocking climate innovation. The post holder would work on scoping, developing, testing, and implementing data analysis and machine learning models and data-driven solutions to evaluate and improve the process of identifying, supporting, and scaling climate innovations within the UK academic sector. This research fellow will work closely with the other members of the Climate Solutions Catalyst and Undaunted to ensure that their work has as wide an impact as possible.