We are looking for a highly motivated person to collaborate with our team in the development and deployment of AI-aided (Python) applications for climate and hydrological services.

The ideal candidate will have a foundational understanding of Large Language Models (LLM), AI and/or software development, either in a commercial or academic setting or both. You will be eager to learn new technologies and possess strong problem-solving and analytical skills especially, experience in integrating LLMs into computational workflows is an advantage, either using LLMs as a proxy between the user and backend software or by enriching software pipelines via LLMs. The successful candidate will have an interest or a good attitude towards using computational simulations of the physical environment through numerical methods is desirable.

PGT/PGR students are particularly welcome to apply as this role may suit the skills developed over your studies. Especially, students with background at the interface of Computer Science, Artificial Intelligence, Mathematics and Engineering and Environmental Sciences who are looking to collaborate in an exciting multidisciplinary project.