Research & Development
Postdoc in Integrating in-line Vision Technology and AI for Improved Concrete Production - DTU Construct
Summary
Develop a deep learning image-analysis framework using hyperspectral imaging to monitor concrete and its constituent materials in-line, predict material properties, and support real-time quality control. The role also involves collaboration, research dissemination, and teaching.
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Opportunity summary
Are you passionate about inline-vision technology in concrete production? We are looking for a full-time Postdoc to join the Digital Building Technology (DBT) section at DTU, Department of Civil and Mechanical Engineering (DTU Construct).
In this role, you will develop a deep learning–based image analysis framework designed for in-line monitoring of concrete and its constituent materials, utilizing hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics.
This position is one out of two postdoc positions granted by Innovation Fund Denmark within the VISTACON project.
Responsibilities
As a part of this project, your responsibilities will encompass the following tasks:
- - Implement and optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production.
- - Develop and train predictive algorithms based on hyperspectral imaging inputs to estimate determined material properties and performance indicators.
- - Developing a graphical user interface (GUI) to facilitate the intuitive application of the model by non-expert users.
- - Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, especially the other postdoc focusing on material characterisation1 …
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