Research Associate in AI for Environmental Forecasting (SENTINEL project)

The University of Leicester is seeking a Research Associate to join the SENTINEL project, focusing on the application of artificial intelligence techniques to environmental forecasting.

This role involves conducting high-quality research at the intersection of machine learning, deep learning, and environmental/atmospheric science. The successful candidate will develop and apply AI-based models to improve environmental forecasting capabilities, working collaboratively within a multidisciplinary research team.

Responsibilities include designing and implementing AI and machine learning algorithms for environmental data analysis and forecasting, contributing to the publication of research findings in high-impact journals, presenting work at national and international conferences, and collaborating with project partners and stakeholders.

Candidates should hold, or be close to completing, a PhD in a relevant discipline such as computer science, environmental science, atmospheric science, earth sciences, or a closely related field. Experience with machine learning frameworks and environmental datasets is desirable. Strong programming skills and the ability to work both independently and as part of a team are essential.