Research Fellow/Senior Research Fellow position in Machine Learning for Climate Science

We are looking for a (Senior) Research Fellow at the intersection of climate science and machine learning.

Climate change is one of the key challenges of the 21st century, and climate action is one of the UN’s sustainable development goals. The goal of this project is to work with climate and environmental data and work with collaborators toward better statistical climate modeling and data-driven forecasting. This project lies at the intersection of climate/environmental science and statistical machine learning.

The Statistical Machine Learning Group is part of the Centre for Artificial Intelligence at UCL and has a strong background in probabilistic modeling, data-efficient machine learning, and reinforcement learning. The successful applicant will lead and contribute to research projects at the intersection of machine learning and climate science. They are also expected to contribute to student supervision and interact with research and project partners. The key objective is to investigate the usefulness of statistical machine learning models (e.g., spatio-temporal models, deep probabilistic models) to support climate science and climate action, e.g., by designing faster simulators and predictors or developing specific tools for analyzing environmental data.

The post is graded as Grade 7 or Grade 8, with starting salary in the range £35,965 to £43,470 (Grade 7) or £44,674 to £52,701 (Grade 8) per annum (including London Allowance). Progression through the salary scale is incremental.

The funding for this post is for 24 months in the first instance.

More information and application

Marc Deisenroth
Marc Deisenroth
Google DeepMind Chair of Machine Learning and Artificial Intelligence