Professor Clinton Phillips Conrad
Affiliation: Centre for Earth Evolution and Dynamics, University of Oslo
My research is directed toward gaining a better understanding of Earth's dynamic interior. For this, my group develops 3D models of Earth’s deforming mantle, which are constrained using seismic and geodetic observations as well as geological indicators of past Earth deformation.
In particular, we utilize observations of Earth’s topography, sediment cover, plate motions, mountain ranges, volcanism, sea level, and climate state, all of which change with time due to interactions with Earth’s deforming and outgassing interior. My goal is to use these interactions to understand our planet's dynamic interior and its influence on the surface environment in which we live.
Dr. Clint Conrad has been a professor of mantle dynamics at UiO’s Centre for Earth Evolution and Dynamics (CEED) since 2016. There, he heads the Earth Modelling research group, which currently hosts 2 faculty, 1 researcher, 2 postdocs, and 3 PhD students. Prior to joining UiO, Dr. Conrad led research groups in the USA as faculty at the University of Hawaii and Johns Hopkins University. He received his PhD from the Massachusetts Institute of Technology (2000) and his BS from University of California at Berkeley (1994).
During his career, Dr. Conrad has published 79 research manuscripts on a variety of topics with a wide range of international collaborators. He has led several major research projects, most recently “Sea Level and the Solid Earth” and “The MAGPIE Project”, which looks at solid earth deformation in Greenland. Recently, Dr. Conrad was awarded the Evgueni Burov Medal (2020) by the International Lithosphere Program.
Supervisor for the following CompSci projects
- Computational modelling of hydrogen diffusion along slip planes in upper mantle silicates (available in call 1)
- Role of anisotropic viscosity for computational modelling of convection in the Earth’s mantle (available in call 1)
- Evaluating mechanisms for intraplate volcanism using the observed distribution of seamounts (available in call 2)