Lecturer or Associate Professor in Computing

University of Leeds; Leeds; On-site; GBP 35,000 - 55,000; Part time

Job summary

An established industry player is seeking an experienced researcher to join their team as a Lecturer or Associate Professor in Computing. This role focuses on computational approaches in weather and climate science, fostering collaboration between the University and the Met Office. The successful candidate will lead innovative research, secure funding, and supervise student projects, contributing to a vibrant academic environment. With generous holiday and professional development opportunities, this position is ideal for those passionate about advancing their career in a supportive and collaborative setting.

Benefits

26 days holiday plus approx. 16 Bank Holidays

Generous pension scheme options

Discounted gym membership

Access to on-site childcare

Shopping discounts

Travel schemes

Qualifications

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

Responsibilities

• Lead research and obtain external funding for weather and climate projects.
• Supervise student research projects in a remote role.

Skills

Computational Research

Machine Learning

Data Science

Collaboration

Education

PhD in Weather/Climate Science

PhD in Data Science

PhD in Computing

Job description

Lecturer or Associate Professor in Computing

Join to apply for the Lecturer or Associate Professor in Computing role at University of Leeds

Lecturer or Associate Professor in Computing

Join to apply for the Lecturer or Associate Professor in Computing role at University of Leeds

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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 the Met Office’s other University partners? Do you have ambitions to obtain external research funding? Do you want to supervise student research to foster and encourage 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, linking with other School, such as the Schools of Earth and Environment (SEE) and Mathematics.

The University of Leeds is a founding member of the Met Office Academic Partnership (MOAP) and home to a sizeable joint Leeds/Met Office research group. To build on this long-standing collaborative strength it has recently appointed 4 enthusiastic and self-motivated scientists to lead collaboration between the Met Office and University in SEE, Mathematics and Geography: this is the fifth and final post.

Your role will also be to strengthen and enhance the University of Leeds’ excellent, internationally recognised profile in Computing, weather and climate science research with a special focus on building collaborations with the Met Office and MOAP. You will lead research, obtaining external research funding, and build collaborations between the University and the Met Office, to deliver on research, innovation and impact. You will deliver student teaching in ways consistent with a remote 0.2 FTE role, primarily through supervision of student research projects. We are particularly interested in applications from individuals working in machine learning and data science.

You will have a PhD (or equivalent research experience) in weather/climate science, data science, computing, or allied subjects and a proven record of computational research in weather or climate science. You will have a track record of collaboration and a willingness to engage with a wide set of researchers across the University to build new collaborations between Leeds and the Met Office. This, depending on research focus, may include researchers in the named Schools, the Priestley Centre for Climate Futures, Leeds Institute for Fluid Dynamics, water@leeds, Global Food and Environment Institute (GFEI), Leeds Institute for Data Analytics, the National Centre of Atmospheric Science (NCAS) and the Centre for Environmental Modelling and Computation (CEMAC).

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

What we offer in return

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme options plus life assurance
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available.
  
  

And much more!

To explore the post further or for any queries you may have, please contact:

Professor John Marsham

[e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Part-time

Job function

• Job function

  Education and Training

• Industries

  Higher Education

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