Courses
30745 MSc Course: Earth and Planetary Magnetism
30760 MSc Course: Inverse Problems and Machine Learning in Earth and Space Physics
30911 PhD course: Journal Club in Geophysics, Astrophysics and Space Physics
PhD theses supervised
- Mikkel Otzen Geostatistical Simulation and Machine Learning in Geomagnetism (DTU Space, ongoing)
- Clemens Kloss Geomagnetic field modelling and polar ionospheric currents (DTU Space, 2021)
- Magnus Hammer Local Estimation of the Earth's Core Magnetic Field (DTU Space, 2018)
- Livia Kother Lithospheric field modeling based on equivalent point sources (DTU Space, 2017)
- Andrey Sheyko Numerical investigations of MHD in a rotating spherical shell (ETH Zurich, 2014)
- Sanja Panovska Modelling Holocene geomagnetic field evolution (ETH Zurich, 2012)
MSc theses supervised
- Gustav Jørgensen Core Flows Inferred From SWARM Satellite
Magnetic Data (DTU Space, 2021)
- Michael Madelaire Hamiltonian Monte-Carlo modelling of satellite magnetic data (DTU Space, 2019)
- Mikkel Otzen Probabilistic inversion of satellite magnetic data using geostatistical simulation in spherical geometry (DTU Space, 2019)
- Rasmus Joost High resolution regional modelling of the lithospheric magnetic field by a Slepian approach using satellite gradient data from CHAMP and Swarm (DTU Space, 2019)
- Tobias Bjerg Optimizing the ABZ magnetometer by solving the inverse problem generated by the continuous varying current in the Z-coil (DTU Space, 2018)
- Clemens Kloss A study of flow in Earth’s core inferred from satellite magnetic measurements (DTU Space, 2017)
- Christian Vogel Recent changes in the Earth’s core magnetic field (DTU Space, 2016)
- Bryan Grob Geomagnetic secular variation during the 19th century (ETH Zurich, 2011)
- Reto Stockmann Imaging Earth's crustal magnetic field using satellite data (ETH Zurich, 2008)