Postdoc in Integrating Hyperspectral Imaging and in-line Vision Technology for Improved Concrete Production

Are you passionate about inline-vision technology in concrete production?

We’re 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 integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies to develop a comprehensive framework for the material characterization. The focus will be on employing hyperspectral imaging techniques to analyse and quantify the physicochemical and structural properties of both individual concrete constituents and the composite material itself at fresh and hardened stages. This position is one out of two postdoc positions granted by Innovation Fund Denmark within the VISTACON project.

The period of employment is 18 months. 

Responsibilities
As a part of this project, your responsibilities will encompass the following tasks:  

• Characterisation of concrete and its constituents using state-of-the-art techniques, including rheological characterisations.
• Hyperspectral image acquisition and analysis of concrete and raw materials.
• Build a comprehensive hyperspectral image database and its validated labelled images.
• Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please see: Postdoc in Integrating in-line Vision Technology and AI for Improved Concrete Production. 
• Dissemination of your research through publications in “top rank journals of the field” and attendance to conferences.
• Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise PhD and MSc student projects). 

Qualification: 

• Background in concrete technology and characterisation.
• Background within image processing, computer vision, or related fields.
• Background within in-line process monitoring or related fields. 
• Furthermore, it is an additional advantage if you have knowledge about deep learning-based image analysis, image modality. 

As a formal qualification, you must hold a PhD degree (or equivalent). 

Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be part of a dynamic research environment; and, who has a positive, supportive and creative outlook. We expect you to have good communication and personal interaction skills and to be fluent in English.

Application procedure 
To apply, please read the full job advertisement here by clicking the 'Apply' button.

DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. 

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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