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Lecturer or Associate Professor in Computing

  • Job
    Full-time
    Mid & Senior Level
  • Science
    Research & Development
  • Leeds
    Remote

AI generated summary

  • You must have a PhD in weather/climate science or related field, proven computational research experience, and the ability to collaborate across various research units.
  • You will lead research, secure funding, build collaborations with the Met Office, and supervise student research projects, focusing on machine learning and data science.

Requirements

  • 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.

Responsibilities

  • 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 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).

FAQs

What is the primary focus of the research position?

The primary focus of the research position is on computational approaches in operational weather and/or climate settings, particularly through collaborations with the Met Office and other University partners.

What qualifications are required for this position?

Candidates should have a PhD (or equivalent research experience) in weather/climate science, data science, computing, or allied subjects, along with a proven record of computational research in weather or climate science.

Is prior teaching experience required for this role?

While prior teaching experience is not explicitly required, candidates should be prepared to deliver student teaching mainly through supervision of student research projects.

What are the expected contributions to research collaborations?

The successful candidate is expected to lead research, obtain external funding, and build collaborations between the University of Leeds and the Met Office to enhance research, innovation, and impact in weather and climate science.

What areas of research are particularly encouraged for applicants?

The application is particularly encouraged from individuals working in machine learning and data science related to weather and climate science.

Will this role be suitable for first-time Skilled Worker visa applicants?

No, due to Home Office visa requirements, this role is not suitable for first-time Skilled Worker visa applicants.

What benefits does the University of Leeds offer to staff members?

Benefits include 26 days of holiday plus approximately 16 bank holidays, a generous pension scheme, access to health and wellbeing services, discounted gym memberships, personal development opportunities, childcare access, and shopping discounts.

Who should I contact for more information about the position?

For more information, you can contact Professor John Marsham at J.Marsham@leeds.ac.uk.

What is the desired experience regarding collaborations?

A track record of collaboration and a willingness to engage with a diverse set of researchers across the University to build new collaborations with the Met Office are desired.

What is the employment status for this position?

The position is offered on a part-time basis, with a focus on a remote 0.2 FTE role primarily through the supervision of student research projects.

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