Data Scientist
Core
Conduct independent scientific research on satellite-based monitoring of transport infrastructure, focusing on detecting deformations, damages, and settlements in road, rail, and bridge assets.
Role type
PhD Researcher (Data Science & Remote Sensing)
Builds
Innovative methodological approaches for infrastructure monitoring using remote sensing data (SAR, InSAR, optical, multispectral) and pilot studies.
Domain
Geoinformatics, Remote Sensing, Civil Engineering, Transport Infrastructure
Deliverable
research
Required skills
Python, MATLAB, C++, Remote Sensing data processing, Time series analysis, Data validation, Scientific writing
Preferred skills
Experience with large datasets, InSAR, Optical satellite data, Asset management integration
Technologies
Python, MATLAB, C++, SAR, InSAR, Optical sensors
Responsibilities
Identify suitable satellite missions and evaluate data suitability, Develop and implement methodological concepts for data processing and analysis, Validate analysis methods against terrestrial data, Publish research results in conferences and journals
Seniority
PhD Candidate (Researcher)