Sigmund submitted his masters's degree in Geophysics and Seismology at the University of Oslo in 2019. The subject of the thesis was Attenuation of Seismic Interference Noise using Convolutional Neural Networks and was written in collaboration with CGG Services AS. This work gave insight in the fields of machine learning and seismic signal processing.
Working with industrial problems utilizing machine learning has given him
experience with convolutional neural networks and seismic data processing
and further led to a consultancy job at Lundin Norway AS working on related projects. He has mainly used Python and has experience with machine learning frameworks such as TensorFlow and Keras, as well as numerical libraries such a Numpy. He is also familiar with MATLAB, C++ and Bash.