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)