# Teaching

**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)