PhD student position in 4D imaging: Dynamic X-ray Computed Tomography based on deep learning (f/m)

Position nr.: 
Dept. of Physics (Vision Lab)
Date posted: 
Tuesday, 15 October, 2019
Position status: 
Full Time Salaried
Project title: 

PhD student position in 4D imaging: Dynamic X-ray Computed Tomography based on deep learning (f/m)


The Vision Lab, an exciting research group at the University of Antwerp ( ), has an open position for a PhD student to work on developing innovative image reconstruction methods for X-ray Computed Tomography (CT). 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 materials science. In your PhD, you will develop ground breaking computational techniques for dynamic imaging by acquiring X-ray scan data from changing objects. You will develop, analyse and validate novel image reconstruction methods for 4D CT applied to materials science. Thereby, model based reconstruction methods will be augmented with state-of-the-art deep learning methods to improve the image quality of the 4D images.


You have a M.Sc. degree іn thе field οf Mathematics, Physics, or Engineering. You love interdisciplinary science, and want nothing more than advancing the field of CT metrology with your creativity and novel solutions. You have a good sense of humor, really like programming to put your findings into practice, and want to tell the world about your findings with sparkling presentations.

Labs involved: 

The Vision Lab has unique expertise in the development of algorithms for reconstruction, processing and analysis of imaging data. 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 Vision Lab publications on tomography can be found on

Our offer: 

An exciting research trajectory towards a PhD.
Multidisciplinary research: cooperation with strong academic research and industrial partners
A world-class research environment with state-of-the-art instrumentation.

Starting date: 
The latest by 1/1/2020 (but preferentially earlier)

Interested candidates are invited to send a motivation letter, a detailed CV (including followed courses, honours, grades, previous work, programming skills, publications, …) and contact info of two references to Christine Waerebeek ( ) with both Prof Jan Sijbers (jan.sijbers@uantwerpen) and Prof Jan De Beenhouwer ( in cc. Please mention ‘HRCT2019DYN’ in the subject of your mail.