Doktorand (licentiat) inom digitala tvillingar för eldriven entreprenad
Core
Developing data-driven models and decision support for emission-free, resource-efficient, and electrified construction and civil engineering production using digital twins.
Role type
PhD candidate (Licentiate) in Geodesy and Geoinformatics
Builds
GeoBIM and 3D-voxel models of terrain conditions, material flows, and volumes; sensor and telematics data analysis from machinery and transport.
Domain
Construction technology, Geoinformatics, Digital Twins, Electrification
Deliverable
production ML models | dashboards & analysis
Required skills
Geospatial data handling, Database technology, Data science, Machine learning, Simulation, Optimization, Model predictive control, Reinforcement learning
Preferred skills
Experience with simulation, optimization, or digital twin systems; Cloud environments and containerized applications; Handling large datasets; Energy systems and sustainability interest; Research or industry project experience
Technologies
GeoBIM, 3D-voxel modeling, Sensor data, Telematics data
Responsibilities
Develop data-driven models for material and logistics management; Analyze sensor and telematics data from machines and transport; Optimize construction processes and circular material flows; Perform inverse geological modeling and volume/mass calculations.
Seniority
PhD Candidate (Licentiate), Research-focused
