UiT the Arctic University of Norway is hiring a PhD fellow in geodynamics (isostasy and flexure of the lithosphere).
- Organisation: Department of Geosciences, Faculty of Science and Technology, UiT the Arctic University of Norway
- Location: Tromsø, Norway
- Duration: 4 years temporary position
- Application deadline: 1 August 2017
About the PhD project:
The PhD project is coordinated with research activities within the Research Centre for Arctic Petroleum Exploration (ARCEx).
The focus of the PhD project will be on the physical, mathematical and numerical modeling of flexure phenomena in the lithosphere. In particular, we are interested in understanding the lithospheric response to ice ages and associated glacial erosion and sediment loading in the Barents Sea.
The lithosphere can be modeled as a thin elastic or viscoelastic plate floating on top of the mantle, which can in turn be modeled as a hot and highly viscous Newtonian or non-Newtonian medium. The isostatic response of the crust can be modeled by coupling mechanical, fluid, and thermal models with nonlinear models of erosion dynamics. The resulting coupled models will have to be discretized and solved numerically. However, these nonlinear models are in general hard to solve, and the complicated and often poorly understood boundary conditions pose additional practical obstacles. In particular, spatial inhomogeneities are often neglected in the modeling. In this project, the inclusion of spatial inhomogeneous and temporal nonstationarities will be central to improve our understanding of the space-time glacial impact on the Barents Sea.
In this project, we will develop and use state-of-the-art 1D and 2D numerical models to model the response of the crust, and an ice sheet model for the long-term development of the Barents Sea ice sheet. Results from basin modelling will be integrated if necessary and applicable. The numerical models will be run on massively parallel high-performance computing facilities.
- Master’s degree in physics, applied mathematics, statistics, geophysics, numerical analysis, electrical or mechanical engineering, or other relevant topics.
- Experience with mathematical and numerical modeling.
- Good programming skills, with proficiency in e.g. Matlab, C/C++, Python, R, or maybe even Fortran.
- Applicants need to demonstrate an ability to work independently and in a structured manner.