PhD candidate (f_m_x) – Modeling the influence of subduction history on TPW and CMB heat flux

The GFZ Helmholtz Centre for Geosciences is one of the world's leading institutions in the field of geosciences. As part of the Helmholtz Association, Germany's largest research organisation, we address global challenges such as natural hazards, climate change and the sustainable use of resources. In doing so, we combine cutting-edge research with social relevance. Our international staff - around 1,200 employees and approx. 500 guests - work in a multidisciplinary way and with a unique infrastructure to research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.”

For section Geodynamic Modeling (department “Geophysics”), we are looking for a:

PhD candidate (f_m_x) – Modeling the influence of subduction history on TPW and CMB heat flux

Reference Number 11542

Our section is working on the understanding of geodynamic processes operating inside the solid Earth and their surface manifestation at a broad range of spatial and temporal scales through advanced numerical modeling. Our research foci are located at both plate boundaries and within the plate interiors, inside the deep mantle and at the surface. To approach our aims, we develop our own numerical methods and tools, but also extensively employ and co-develop numerical techniques provided by the international community.

We are looking for one PhD student to join our team in the framework of the DFG Priority Programme DeepDyn. The successful candidate should have strong experience in geodynamic or planetary dynamics modeling, scientific programming, and data visualisation methods. Job responsibilities will include a variety of tasks related to geodynamic research, scientific programming, and data visualisation.

Your responsibilities:

• Conduct scientific research in the field of geodynamic modelling. Including, but not limited to, computing (1) mantle density anomalies and flow, (2) true polar wander, and (3) core-mantle boundary heat flux
• Optimise results according to observational constraints