Thesis Work - Seeing Beneath the Surface: A Data Fusion Approach to Bathymetric Mapping
Core
Develop a data fusion approach combining satellite, drone, and ROV sonar data to create high-resolution bathymetric maps and 3D basin reconstructions for hydropower water volume estimation.
Role type
MSc thesis researcher (geospatial data fusion & ML)
Builds
Unified depth models and 3D basin reconstructions for hydropower regulation
Domain
Energy / Hydropower / Geospatial Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
Python, machine learning, deep learning, data analysis, GIS principles, remote sensing, image processing
Preferred skills
satellite imagery analysis, drone data processing, sonar/acoustic survey data, environmental analysis
Technologies
NumPy, PyTorch, TensorFlow, GDAL, Rasterio
Responsibilities
Conduct literature review on bathymetry and data fusion methods; acquire and preprocess multi-source data (satellite, drone, ROV); co-register data to a common reference; develop and apply data fusion models; perform elevation/terrain analysis for 3D reconstruction; validate models against field measurements.
Seniority
MSc student (final year)
