August 2016
Message 45

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[Met-jobs] PhD Position Oslo: Climate modelling of solar induced interannual-to-decadal variability

From Frode Stordal <>
Date Mon, 22 Aug 2016 14:43:22 +0200

Please notice that the deadline for the following PhD position has been extended to August 29th:

Applications are invited for a 3-year Ph.D. fellowship in atmospheric sciences at the Department of Geosciences, University of Oslo, Norway. Applicants must hold a Master’s degree in natural sciences (e.g. meteorology or a related field such as physics, or chemistry) or computational/applied mathematics (including fluid mechanics).

The work of the Ph.D. scholar will be part of the project “Solar effects on natural climate variability in the North Atlantic and Arctic”, which is coordinated by Dr. Yvan Orsolini at theNorwegian Institute for Air Research and funded by the Research Council of Norway. In this project, we will 1) characterize how the 11-year solar cycle and its spectral radiance variations affect the interannual-to-decadal variability of the northern hemisphere circulation patterns, principally the North Atlantic Oscillation and the Arctic Oscillation, through stratosphere-troposphere and through ocean-atmosphere coupling, and 2) examine if energetic particle precipitation can also significantly affect the interannual-to-decadal variability of these patterns, and how it interplays with the solar radiance effect.

The University of Oslo (UiO) and NILU will collaborate closely by supervising the PhD student at UiO. The PhD student will be tasked with running the Whole-Atmosphere (0-140km) Community Climate Model (WACCM) within the the Norwegian Earth System Model (NorESM). The position is affiliated with the Section for Meteorology and Oceanography. The research group consists of six professors, four adjunct professors, seven Ph.D. research fellows and five Post-Docs.

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates will be selected in accordance with this, and are expected to be in the upper segment of their class with respect to academic credentials. Applications are encouraged from dedicated candidates with excellent writing skills. Creativity and innovation are valued as is a demonstrated high working capacity, passion for research, and self-motivation.

Demonstrated experience with any of the following should be highlighted:
• Knowledge of computer modelling of the climate system
• Technical expertise in scripting (Python, R, bash/shell) or programming (C++ and/or FORTRAN)
• Evidence of independent research and writing skills

For further information and instructions on how to apply, please see

For more information, please contact:

Yvan Orsolini, <>
Frode Stordal, UiO <>

Frode Stordal

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