Lecturer or Associate Professor in Computing

University of Leeds; Leeds; Remote; GBP 40,000 - 70,000; Part time

Job summary

An established industry player is seeking an ambitious researcher to enhance its profile in computational weather and climate science. This role focuses on collaboration with the Met Office and aims to secure external funding while supervising student research projects. Ideal candidates will have a PhD in relevant fields and a strong background in machine learning and data science. The position offers a unique opportunity to contribute to innovative research and build impactful partnerships across multiple disciplines. Join a vibrant academic community dedicated to advancing knowledge and making a difference in the field of climate science.

Benefits

26 days holiday plus bank holidays

Generous pension scheme

Health and wellbeing benefits

Discounted gym membership

Opportunities for personal development

On-site childcare

Shopping discounts

Travel schemes

Qualifications

• PhD or equivalent in weather/climate science, data science, or computing.
• Proven record of computational research in weather or climate science.

Responsibilities

• Lead research efforts and secure external funding.
• Supervise student research projects in a remote role.

Skills

Machine Learning

Data Science

Computational Research

Collaboration

Education

PhD in Weather/Climate Science

PhD in Data Science

PhD in Computing

Job description

Are you an experienced and ambitious researcher with a focus on computational approaches in an operational weather and/or climate setting? Are you looking to grow your own research and build collaborations between the University of Leeds, the Met Office, and other University partners? Do you aim to obtain external research funding and supervise student research to foster the next generation?

New technologies are driving a revolution in weather and climate prediction. This post will build 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.

The University of Leeds, a founding member of the Met Office Academic Partnership (MOAP), hosts a sizeable joint Leeds/Met Office research group. To strengthen this collaboration, it has recently appointed four scientists to lead partnerships between the Met Office and the University across various Schools; this is the fifth and final position.

Your role will be to enhance the University of Leeds' profile in computing, weather, and climate science research, focusing on collaboration with the Met Office and MOAP. You will lead research efforts, 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 role. We are particularly interested in applicants working in machine learning and data science.

Applicants should have a PhD (or equivalent research experience) in weather/climate science, data science, computing, or related fields, with a proven record of computational research in weather or climate science. Experience in collaboration and willingness to engage across multiple disciplines within the University to build partnerships with the Met Office are essential. This may include researchers from the Schools of Earth and Environment, Mathematics, Geography, and institutes such as the Priestley Centre, Leeds Institute for Fluid Dynamics, GFEI, Leeds Data Analytics, NCAS, and CEMAC.

Please note that due to Home Office visa requirements, this role is not suitable for first-time Skilled Worker visa applicants. Further visa information is available at: https://www.gov.uk/browse/visas-immigration/work-visas

What we offer in return

1. 26 days holiday plus approximately 16 bank holidays (including Christmas), totaling 42 days a year.
2. Generous pension scheme options and life assurance.
3. Health and wellbeing benefits, including discounted staff memberships at The Edge, our campus gym with facilities such as a pool, sauna, climbing wall, cycle circuit, and sports halls.
4. Opportunities for personal development through courses offered by our Organisational Development & Professional Learning team.
5. Additional benefits including on-site childcare, shopping discounts, and travel schemes.

And much more!

To explore the position further or for any queries, please contact:

Professor John Marsham

[e-mail]