Bachelor theses / Master theses

Computed Tomography (CT) is rising as powerful tool in geosciences and raw materials industry as it can measure the 3D properties of materials inside samples. This can be used to evaluate, for example, if a material can be recycled or if a valuable mineral can be extracted from a rock. However, no chemical information can be measured with CT, which makes phase identification from 3D images challenging.
Goal: This project aims to develop a method to calibrate the grey-scale of CT 3D images using reference samples to simplify the identification of mineral phases.

• Good spoken and written English
• Enthusiasm for experimental and analytical laboratory work
• Creativity and desire to do new things
• Background in Earth sciences or material sciences.
• Knowledge of Python or C++, or willingness to learn.

Available for 6 months, starting in April or later. Please apply with a short application letter (max. 1000 characters), possible starting time and short CV (max. 2 pages).

Tasks:

1) Produce reference samples for 3D analysis (Month 1-2).
2) Scan and analyse the 3D structure of the reference samples using CT (Month 3-4).
3) Develop a method to correct the grey-scale of 3D images in order to identify valuable minerals and elements in samples (Month 5-6).

Expected learning outcomes:

– Hands on experience with CT and 3D image processing techniques
– Knowledge of laboratory procedures and analytical techniques used in the raw materials research and industry
– Experience characterizing raw materials, natural minerals and recyclable
– Work in an international collaborative environment