Postdoc in Integrating Hyperspectral Imaging and in-line Vision Technology for Improved Concrete Production
Core
Develop a framework for material characterization of concrete using hyperspectral imaging and computational image processing to analyze physicochemical and structural properties at fresh and hardened stages.
Role type
Postdoctoral researcher (research & teaching)
Builds
Hyperspectral image database and validated labelled images for concrete constituents and composites
Domain
Construction materials science / Computer vision / Materials characterization
Deliverable
production ML models | research
Required skills
Hyperspectral image acquisition and analysis, Rheological characterisation, Concrete technology and characterisation, Computational image processing, Deep learning-based image analysis
Preferred skills
Knowledge of image modality
Technologies
Hyperspectral imaging systems, Rheological equipment
Responsibilities
Characterise concrete and its constituents using state-of-the-art techniques, Build a comprehensive hyperspectral image database, Disseminate research through publications and conferences, Teach and supervise PhD and MSc student projects
Seniority
Postdoctoral researcher (18 months)