2 PhD positions, ice sheet modeling and data-model-integration for sea level estimation, University of Bergen (Norway)

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2 PhD positions, ice sheet modeling and data-model-integration for sea level estimation, University of Bergen (Norway)

Andreas Born

We invite applications for two 4-year PhD positions at the Department of
Earth Science at the University of Bergen (Norway). The research project
aims to synthesize high-quality reconstructions from the Greenland ice
sheet with physical ice sheet models to improve estimates of past and
future sea level. Start of employment is ideally before September 2017.

### 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:

Andreas Born                  Research Group Leader
tel. +47 5558 3406            Department of Earth Science
[hidden email]           Bjerknes Centre for Climate Research
http://folk.uib.no/abo007/    University of Bergen, Norway
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