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Technical University of Denmark

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Postdoc in Integrating In-line Vision Technology and AI for Improved Concrete Production Technical University of Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoc position for 18 months. The post is one of two postdoc positions funded by Innovation Fund Denmark within the VISTACON project. Salary and terms follow the Danish collective agreement, with possible supplements under DTU salary structure.

Deadline

Oct 31, 2026

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Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Materials Science
Deep Learning
Artificial Intelligence
Civil Engineering
Computer Vision
Material Characterization
Hyperspectral Imaging

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About this position

DTU Construct (Department of Civil and Mechanical Engineering) at the Technical University of Denmark is advertising a Postdoc in Integrating in-line Vision Technology and AI for Improved Concrete Production in Kgs. Lyngby, Denmark.

The project sits in the Digital Building Technology (DBT) section and is part of the VISTACON project, with support from Innovation Fund Denmark. The postdoc will develop a deep learning-based image analysis framework for in-line monitoring of concrete and its constituent materials using hyperspectral imaging. The goal is real-time prediction and assessment of material physicochemical behaviour and performance characteristics.

Core tasks include implementing and optimising deep learning models for quality control, training predictive algorithms from hyperspectral data, building a graphical user interface for non-expert users, collaborating with an interdisciplinary team, publishing in top journals, presenting at conferences, and contributing to teaching/supervision where relevant.

Applicants should have a PhD degree (or equivalent) and a background in deep learning, computer vision, big data, in-line process monitoring, or related areas. Experience with concrete characterisation and experimental research is preferred. English fluency and strong communication/teamwork skills are expected.

The appointment is full-time for 18 months, with salary and terms according to the Danish collective agreement and DTU salary structure. Applications are submitted online as one PDF file, including a cover letter, CV, diplomas, publication list, a short video statement, and at least two referees. Deadline: 31 October 2026.

Funding details

Full-time postdoc position for 18 months. The post is one of two postdoc positions funded by Innovation Fund Denmark within the VISTACON project. Salary and terms follow the Danish collective agreement, with possible supplements under DTU salary structure.

What's required

Applicants must hold a PhD degree or equivalent. Required background includes deep learning, big data, computer vision, or related fields, plus experience in in-line process monitoring or related fields. Preference is given to candidates with competence in concrete characterisation and experimental research. Candidates should be team players who can also work independently and must be fluent in English.

How to apply

Submit the complete online application through the Apply now link. Prepare one PDF in English containing the cover letter, CV, academic diplomas (MSc/PhD), publication list, a short video description with a web link for direct download, and contact details for at least two referees. Apply before the deadline.

More information can be found here

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