Research Scientist in Arctic Variability & Predictability

University of Reading - National Centre for Atmospheric Science

We are seeking to employ a talented researcher to study Arctic variability and predictability, with a focus on seasonal to decadal timescales. There is a growing need for seasonal-to-decadal timescale climate forecasts to help inform local communities and industry stakeholders. This project will seek to better understand the role of natural climate fluctuations in producing recent Arctic sea ice changes on these timescales, and whether they are predictable.

You will be responsible for: (i) analysing global climate simulations, observations & reanalyses to examine the physical mechanisms of Arctic sea ice & ocean variability, and (ii) designing, producing & analysing a large ensemble of simulations to estimate Arctic predictability as part of a wider European collaboration (APPLICATE). Effective collaboration with other members of the research team and
APPLICATE (http://applicate.eu) collaborators will be required.

You will have:

  • Shortly be expected to achieve.
  • A PhD or equivalent in physical or mathematical sciences.
  • Experience of analysing or running climate models.
  • Strong scientific computing skills.
  • An understanding of physical processes relating to Arctic climate.

Department of Meteorology, University of Reading

The Department of Meteorology at Reading is the largest of its kind in Europe with over 40 academic staff, 20 senior research staff and fellowship holders, around 90 postdocs and around 70 PhD students. In the 2014 Research Excellence Framework, 86% of our research was graded as world class or internationally excellent and were ranked third in the country in the "Earth Systems and Environmental Science" category for Research Power. The Department hosts around 25 Met Office scientists, the Climate Division of the National Centre for Atmospheric Science (NCAS-Climate), as well as the directorate of NCAS Models and Data and part of the Centre for Polar Observation and Modelling (CPOM).

Informal contact details
Contact role: Principal Investigator
Contact name: Prof Ed Hawkins
Contact phone: +44 (0)118 378 7991
Contact email: e.hawkins@reading.ac.uk

Interview date to be confirmed.

The University is committed to having a diverse and inclusive workforce, is a Stonewall Diversity and Global Diversity Champion, and supports the principles of the Race Equality Charter and Athena SWAN. Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.

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South East England