Department: Department of Physics
The Vision Lab, an imec () research group of the physics department at the University of Antwerp. The Vision Lab has unique expertise in the development of algorithms for reconstruction, processing and analysis of tomographic imaging data. Application domains are X-ray Computed Tomography (CT), Terahertz and Electron Tomography. The working environment is strongly interdisciplinary, combining techniques and insights from Physics, Mathematics and Computer Science. The group has a broad range of national and international collaborations with both academic and industrial partners. Recent publications on tomography can be found on http://visielab.uantwerpen.be/research/tomography .
The Vision Lab, an imec (https://www.imec-int.com/en/home) research group at the University of Antwerp (http://visielab.uantwerpen.be/ ), has an open position for a Postdoc to work on developing advanced image reconstruction methods for X-ray tomography. Tomography is an image reconstruction technique that leans strongly on large-scale numerical mathematics, particularly linear algebra. It has a wide range of applications in medicine (CT-scans), industry (nondestructive testing), and science (3D characterization and material analysis).
Context of the research project:
Additive metal Manufacturing, i.e., 3D metal printing, is a growing industry. Many of its leading companies are located in Europe, and several in Flanders. AM companies drive industry 4.0 in aerospace, energy, automotive, medical, tooling and other sectors. AM technology allows creating complex products quickly, on demand and tailored to the end-consumer needs. It is highly profitable for small batch series, facilitating the shift from mass production to full customization. More recently, studies show also potential of AM technology for mass production.
As any new technology, also AM has its limitations. Productivity and quality limitations are the main technological barriers for a broad integration of metal printing across the industry ant to make AM competitive with other metalworking processes. The project aims to improve print quality and reduce waste and cost by in-line real-time monitoring of the melt pool and the product during printing and controlling printing in-the-loop.
The project focuses on the development of new computational techniques to improve image reconstruction and analysis of 3D printed metal objects. More specifically, novel superresolution reconstruction methods will be developed to enhance the effective spatial resolution of X-ray tomography of printed parts. Such a method will allow for a more reliable and accurate detection of defects of interest, which will in turn form the basis of a model that can relate optical features acquired during the printing process to physical defects.
Applicants are expected to have a PhD in Physics, Mathematics, Computer Science, or Engineering. Excellent communication skills in English are key, as well as expertise in tomographic image reconstruction .