Postdoctoral Researcher (CRISP)

University of Reading; Reading; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading university in the UK is seeking a Postdoctoral Researcher to conduct advanced research in sea ice modelling. The role involves improving physical processes in climate models and producing reanalysis data. Candidates should hold a PhD and possess skills in numerical modelling or data assimilation. This is a full-time position with opportunities for collaboration and travel.

Qualifications

• Experience in numerical modelling or data assimilation.
• Publication and presentation record appropriate to career stage.

Responsibilities

• Perform assimilation run with global ocean sea ice model NEMO-SI.
• Produce a sea ice reanalysis using advanced model setup.
• Report on research progress through papers and presentations.

Skills

Numerical modelling

Data assimilation

Mathematical representation

Education

PhD in physical environmental science

Job description

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Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants should ensure that they are able to meet the points requirement under the PBS. There is further information about this on the .

Closing date: Monday 30 June

Interviews will be held: Monday 21 July

The Department of Meteorology in the University of Reading is a thriving community of over 200 academics and research scientists and is a world leader in weather and climate research. We are seeking to recruit a curious, enthusiastic, and critical thinking researcher to perform an assimilation run with the global ocean sea ice model NEMO-SI and the Parallel Data Assimilation Framework (PDAF) to create a physically constrained sea ice reanalysis. This work will be carried out under the NERC project (Constraining Reanalysis of sea Ice by correcting Seasonal feedbacks in the Polar regions) with co-operation with UCL London and international project partners.

In this project, you will

• Elaborate model shortcomings and potential data issues by analysing the differences between model and data with respect to the sea ice volume budget.
• Improve the following physical processes in SIspecifically selected to address the outlined shortcoming regarding winter growth and summer melt processes in a climate model:
• grease ice formation
• sea ice ridging scheme
• snow processes
• floe size distribution
• melt water drainage.
• Produce a sea ice reanalysis using an advanced model setup and advanced sea ice thickness data, leading to recommendations on how to setup the sea ice component in future climate simulations.
• Report on progress and results of the research through appropriate methods, including papers for submission to scientific journals, presentation of results at conferences, workshops etc.
• Maintain awareness of current progress in relevant research areas to ensure that the research remains at the cutting edge.
• Liaise with collaborators from other parts of the project on a regular basis, including travel to visit project partners as required.
  

You Will Already Have

• A PhD or equivalent experience in a relevant area of physical environmental science
• Skills in either numerical modelling of physical systems or in data assimilation
• Working knowledge of, and mathematical representation of, heat, mass, and momentum transfer
• A publication and presentation record appropriate to career stage
• Personal skills to work both independently and as part of a team
  
  

Contact Details For The Advert

Contact Name: David Schroeder

Contact Job Title: Senior Sea Ice Model Development Scientist

Contact Email address: [e-mail]

The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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