Lecturer or Associate Professor in Computing

University of Leeds; Leeds; On-site; GBP 45,000 - 75,000; Full time

Job summary

An established academic institution seeks an ambitious researcher to join their innovative team in Computing and climate science. This role offers the opportunity to enhance collaborative research efforts with the Met Office, focusing on cutting-edge computational approaches to weather and climate prediction. As a key player in this dynamic environment, you will lead research initiatives, supervise student projects, and work towards securing external funding. If you are passionate about advancing scientific knowledge and fostering partnerships, this is the perfect opportunity to make a significant impact in the field.

Qualifications

• PhD or equivalent experience in relevant fields.
• Proven record of computational research in weather or climate science.

Responsibilities

• Enhance the University’s reputation in Computing and climate science research.
• Lead research initiatives and secure external funding.

Skills

Machine Learning

Data Science

Computational Research

Collaboration

Education

PhD in Weather/Climate Science

PhD in Data Science

PhD in Computing

Job description

Lecturer or Associate Professor in Computing

Are you an experienced and ambitious researcher focusing on computational approaches in operational weather and/or climate settings? Are you looking to expand your research, foster collaborations between the University of Leeds, the Met Office, and other academic partners? Do you aim to secure external research funding? Do you want to supervise student research to develop the next generation of scientists?

This role involves building new links between the Met Office and the School of Computer Science, as well as other schools such as Earth and Environment (SEE) and Mathematics, in the context of technological advancements in weather and climate prediction.

The University of Leeds, a founding member of the Met Office Academic Partnership (MOAP), hosts a significant joint Leeds/Met Office research group. To strengthen this collaboration, four scientists have been appointed to lead joint research efforts; this is the fifth and final position.

Your responsibilities include enhancing the University’s reputation in Computing, weather, and climate science research, especially through collaborations with the Met Office and MOAP. You will lead research initiatives, secure external funding, and foster collaborations to deliver research, innovation, and impact. Additionally, you will supervise student research projects, primarily in a remote 0.2 FTE capacity. Applications from individuals specializing in machine learning and data science are particularly encouraged.

Qualifications include a PhD (or equivalent experience) in weather/climate science, data science, computing, or related fields, with a proven record of computational research in weather or climate science. You should have a history of collaboration and a willingness to engage with various researchers across the University to build new partnerships, including those in Schools, the Priestley Centre for Climate Futures, Leeds Institute for Fluid Dynamics, water@leeds, GFEI, Leeds Institute for Data Analytics, NCAS, and CEMAC.