We invite candidates with a background in physics, applied mathematics, geophysics, numerical analysis, or related fields, to apply for a Postdoctoral Fellow within the project “Cavitation noise generated by seismic sources: dynamics and mitigation”. The position is funded by Statoil’s Akademia program and aligned with ongoing research activities within ARCEx – Research Centre for Arctic Petroleum Exploration.
- Organisation: UiT the Arctic University of Norway, Faculty of Science and Technology, Department of Geosciences
- Location: Tromsø, Norway
- Duration: 2 years fixed term
- Application deadline: 5 July 2017
About the position’s field of research/research project
The postdoc project focuses on the detailed mathematical modeling of high-frequency noise formed by collapsing vapor bubbles generated by airgun arrays during marine seismic exploration. It is of particular interest to model the nonlinear coupling between small aggretates of collapsing bubbles, and to generalize the models to full bubble clouds, including modeling of the dynamically varying bubble number densities. The understanding of bubble dynamics will be used to suggest new designs for low-noise seismic exploration methods, and to understand the interaction between the low-frequency information carrying seismic wavefields propagating through the bubble clouds.
The standard basic model for phenomena of this kind is the classical Rayleigh-Plesset (RP) model, which is a nonlinear ordinary differential equation for the evolving bubble radius of a single bubble in an incompressible fluid of infinite spatial extent. It is expected that the present project will develop several useful generalizations of the RP model, and in particular systems of nonlinear partial differential equations to model the interaction in aggregates of bubbles.
The research will require deep knowledge of mathematical modeling of nonlinear physical phenomena, in addition to the ability to develop high-quality numerical codes to solve the resulting models. The postdoc will be using the national high-performance computational infrastructure in Norway (e.g. the new Fram computational facility at UiT The Arctic University of Norway), which comprises a network of massively parallel computers.