Doctoral student (licentiate) in digital twins for electrified construction

Project description

Third-cycle subject: Geodesy and Geoinformatics, with specialisation in Geoinformatics

We are seeking a doctoral student for a two-year licentiate position in , which develops data-driven models and decision support for emission-free, resource-efficient and electrified construction.

The doctoral student will work with DISSECTs material and logistics layers. The research may include GeoBIM and 3D voxel models of ground conditions, quantities and material flows; material tracking; volume and mass estimation; inverse geological modelling; and analysis of sensor and telematics data from machines and transports. The logistics part may include optimization of construction processes, mass transports, circular material flows and charging constraints.

Methodologically, the work may combine geospatial data management, database technology, data science, machine learning, simulation and optimization, including model predictive con...