PhD Position in CT Based Improvement of In-Process Monitoring Capabilities"

Catholic University of Leuven Department of Mechanical Engineering


The Manufacturing Processes and Systems (MaPS) group at the Department of Mechanical Engineering of KU Leuven, stands for the study of techniques, methods and devices that are used to manufacture parts of products and systems based on in-depth knowledge of the material-tool interaction and derived machine structures. Systematic data monitoring, analysis and management is used in this context, targeting system optimisation. Product specification, modelling, process planning and quality control are integrated aspects of the product-production cycle, for which the sustainability dimension is considered in a life cycle approach. This results in innovative manufacturing processes and systems that are developed in close collaboration with industrial partners. The team of manufacturing metrology research line in the MaPS investigates, develops, optimizes and implements measurement solutions for manufacturing quality control. The group’s expertise covers surface and 3D coordinate metrology using tactile and optical probes as well as X-ray Computed Tomography (CT).


xCTing is a pan-European industrial-academic initiative committed to the provision of a unique and encompassing training environment required to foster a new generation of innovation-minded research engineers, that will act as catalysts in the further transformation of Europe’s manufacturing industry towards global technological leadership. 

For this PhD research position - “CT based improvement of in-process monitoring capabilities”, the objective is autonomously correlate in-line CT data with AM process parameters which are decided on during build preparation. This ESR will stack the monitoring data, which is acquired for every layer of the process, to produce a 3D volumetric model. Deep learning techniques will then be used to correlate the in-process monitoring models with the post-process CT data. The scope of this correlation is to identify the sensor output data range that yields adequate part quality. This ESR project will interpret the CT scans of the experimental parts, combine the CT results with the monitoring data, in order to develop predictive models to be used in build preparation.

Expected results:

  • Validated demonstrator software implementation of the learning system for establishing and updating the correlations;
  • Joint publications with the other ESRs;
  • PhD dissertation.

Credibility:exploratory research has indicated a correlation between porosity determined by CT and AM process parameters, which is taken a step further through this research by making the process more user-independent.


Successful candidates:

  • hold a master’s in engineering science, computer science or engineering technology or any other comparable study with a solid mathematical background,
  • have a profound interest in uncertainty quantification, machine learning and numerical simulation,
  • have a working experience with coding in Matlab/Python/…,
  • like to  work in a multidisciplinary team of international researchers,
  • have a creative and problem-solving mindset and take initiative to conduct cutting-edge research in close collaboration with industry,
  • are fluent in English (both spoken and written) or willing to improve their language skills.

Any prior experience in the application or development of additive manufacturing or CT metrology techniques is considered a strong plus.

Further,due to eligibility criteria of the European Commission, following rules have to be taken into account:

  • The candidate must not have resided or carried out his/her main activity (studies etc.) in Belgium  for more than 12 months in the 3 years immediately prior to his/her recruitment. Short stays, such as holidays, compulsory national services (such as mandatory military service) and procedures for obtaining refugee status under the Geneva Convention are not counted.
  • The ESR (early stage researcher) shall at the date of recruitment by the host organisation, be in the first four years (full time equivalent research experience) of their research careers and have not been awarded a doctoral degree. The date is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited, irrespective of whether or not a doctorate is or was ever envisaged.


KU Leuven is among the top universities in Europe (ranked 48th in general and 45th in engineering according to Times Higher Education world university ranking) and the research performed in the Manufacturing Metrology group is renown in the scientific community (with 3 fellows of CIRP - International Academy for Production Engineering).

We offer:

  • the opportunity to be part of a Marie Curie International Training Network including key CT players in Europe
  • a research position in an enticing research environment at the cross-roads of numerical simulation, applied mathematics, mechanical engineering and computational mechanics in close contact with key industrial partners,
  • an attractive salary package, complemented with multiple benefits (health insurance, access to university infrastructure and sports facilities, etc.),
  • a thorough scientific education,
  • the opportunity to participate at international conferences and the possibility to spend a research stay at one of our international contacts,
  • to work towards obtaining a PhD degree from a highly-ranked university and become a well-trained, independent researcher.

We encourage everyone to apply for the position. Since KU Leuven carries out an equal opportunity and diversity policy, we strive for full gender balance in the project.


For more information please contact Prof. dr. ir. Wim Dewulf, tel.: +32 16 37 28 81, mail: or Mr. Jun Qian, mail:

This job vacancy and other xCTIng ESR opportunities are also available at projectwebsite

You can apply for this job no later than April 30, 2021 via the
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at
  • Employment percentage: Voltijds
  • Location: Leuven
  • Apply before: April 30, 2021
  • Tags: Industriële Ingenieurswetenschappen

In your application, please refer to