Knowledge-based system for fast and accurate determination of CT (Computed Tomography) scanning parameters

Early Stage Researcher (ESR) position for the development of a knowledge-based system for fast and accurate determination of CT scanning parameters

Description: In this project, you will improve the set-up process of CT metrology by reducing the time necessary to find an optimized task-specific set of CT parameters (source settings, hardware filtration, orientation,…). This will be achieved by enhancing a knowledge-based system, which uses expert knowledge to support the decision to find the most suitable parameter set. The knowledge-based system follows a workpiece similarity approach, taking into account scale, form and material. This approach will be extended towards additional workpiece properties (e.g. roughness, multi-material aspects) and influencing parameters. In addition, it will be enhanced using a feature-based approach, since different features require different optimal parameter sets. You cooperate with ESR 2 to scrutinize the multi-material aspects of your approach. In addition, you will benefit from the cooperation with partners KU Leuven en DTU and an end-user industry partner (Kiekert) in order to validate the developed approach.

Secondments: During this project, you will do a secondment (of a few months) to DTU (Denmarks Tekniske Universitet, Denmark), Kiekert (Germany) and KU Leuven (Belgium)

Duration: 36 months (enrolment in a PhD program at RWTH)

Envisaged job starting date: between November, 1st 2013 and March, 31st 2014