|From||Andreas Born <firstname.lastname@example.org>|
|Date||Thu, 30 Mar 2017 11:27:26 +0200|
### About the project, work tasks:Most of the decisions concerning the future evolution of climate are informed by numerical models. Given the high stakes involved and potential daunting perspectives and risks such as rising seas, it is imperative that these models are of the highest quality and take advantage of all available data. It is thus unacceptable that the current state-of-the-art estimates of sea level rise from ice sheet modeling do not systematically include information from high-quality reconstructions of the ice sheet's past available from ice cores and ground-penetrating radar. Can we trust these models when simulating the future if the validation of their skills does not incorporate some of the best available data of the past?
Because existing ice sheet models have fundamental mathematical shortcomings that render such attempts infeasible we will follow a novel approach based on a radical re-design. This new model simulates the full stratigraphy of the ice for comparison with observations, while also being fully consistent with ice physics.
Both PhD positions involve a significant amount of scientific programming and development of numerical tools (in Fortran). These new models will then be tested on key periods of the past as well as to estimate future sea level rise. The expected work comprises producing a large ensemble of simulations for a rigorous assessment of uncertainty. State-of-the-art supercomputing infrastructure is available for this task. The project involves close collaboration with international partner institutions.
### Qualifications and personal qualities:The applicant must hold a master's degree or the equivalent in glaciology, physics, applied mathematics, meteorology physical geography or neighboring fields relevant to the PhD topic. The position requires good knowledge of ice sheet and climate dynamics. Good programming skills are essential (Python, Matlab, Fortran, R or similar). The ideal candidate should have excellent academic qualifications, as well as good communication and collaboration skills.
For more information an to apply, follow these links: https://www.jobbnorge.no/ledige-stillinger/stilling/136218 https://www.jobbnorge.no/ledige-stillinger/stilling/136225 --- Andreas Born Research Group Leader tel. +47 5558 3406 Department of Earth Science email@example.com Bjerknes Centre for Climate Research http://folk.uib.no/abo007/ University of Bergen, Norway
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