Academic interests
UiO and Michigan State University have established an experimental method in nuclear astrophysics, known as the beta-Oslo method. This method makes it possible to obtain data on astrophysical reaction rates for exotic, neutron-rich nuclei, which are important for our understanding of the formation of the heavy elements in the nucleosynthesis.
The overall goal of the PhD project is the development of methods based on Bayesian neural networks (BNN) and Gaussian processes (GP) for applications in nuclear astrophysics. This implies the deconvolution of complex gamma spectra from the beta-Oslo method, and to determine the uncertainty of experimental data through Bayesian analysis. Machine learning models will also be developed in order to obtain robust predictions and uncertainties for nuclear quantities of exotic, unstable nuclei.
Background
- Master's Degree Programme, 5 years (2015-2020), NTNU, Applied Physics as main profile.
- Master's Thesis in Condensed Matter Physics: "Spontaneous Vortex Phase and Quantum Phase Diagram of Ferromagnetic Superconductors". Supervisor: Jacob Linder, QuSpin, NTNU.
Positions held
Secretary of the Norwegian Physical Society
Partners
National Superconducting Cyclotron Laboratory (NSCL), Michigan State University, http://www.nscl.msu.edu