Location: | Lyngby - Denmark |
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Salary: | Competitive |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 9th May 2025 |
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Closes: | 15th June 2025 |
Job Ref: | 5111 |
Would you like to put your mathematical and algorithm skills to work in a truly interdisciplinary project and be part of devising new sustainable cement formulations through improved dynamic X-ray imaging, then come to DTU and work with us!
We are seeking a full-time postdoctoral researcher to join DTU Compute as part of the Villum Synergy funded project “MathCrete”. This research position will explore novel image reconstruction and segmentation algorithms for improving the contrast and space+time resolution of dynamic in situ micro and nano CT (computed tomography).
The position offers the unique opportunity to collaborate closely with mathematical imaging researchers at DTU Compute, the DTU 3D Imaging Center and cement experts at DTU Construct, in particular another MathCrete postdoc focused on developing new cement formulations and characterization techniques. For algorithms and software there will also be the opportunity to work with the team behind the Core Imaging Library (CIL) and contribute to open-source reproducible research.
Together, we aim to push the boundaries of mathematical imaging data science, materials science and digital building technology!
The period of employment is 2 years. Tentative starting date: Summer 2025.
Responsibilities and qualifications
Your focus will be on developing, implementing and applying advanced image reconstruction algorithms to improve the quality of time-resolved micro and nano X-ray CT imaging of cement mixing processes. This is challenging due to the fast-evolving chemistry in the early mixing phase and low X-ray contrast between mixing and intermediary components. The goal is through improved time-resolved reconstruction to enable characterization of the cement microstructure in 3D + time to help understand and develop more sustainable cement formulations. This may involve techniques such as spatio-temporal regularization, discrete tomography, low-dimensional latent representations and machine learning.
The ultimate aim is to reduce the carbon footprint for the construction industry and enable CO2 capture from the atmosphere.
Your objectives will include to:
Qualifications:
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.
As a formal qualification, you must hold a PhD degree (or equivalent).
Application procedure
To apply, please read the full job advertisement via the 'Apply' button above.
Application deadline: 15 June 2025
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