PhD in Engineering Geology

Tunnelling projects generate large volumes of data, (e.g. MWD, mapped geological data, rock support, rock mass grouting, geometrical design and as-built data). The value of the data is often not fully realized as it is fragmented across systems and formats, difficult to link in time and space and locked into manufacturer-specific tools. This PhD project aims to redefine how tunnel data is interpreted, integrated and utilized. One research path can be to develop a complete digital workflow that transforms raw data acquisition to machine learning interpretation to 3D geometry and quality models to machine learning decision support. The PhD project will be carried out in close cooperation with Norwegian tunnelling contractors, project owners and system manufacturers.