As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof.
Yves Le Traon. You will contribute more specifically to a partnership project with Ceratizit Luxembourg SARL, a worldwide leader in carbide product manufacturing.
The topic of the project is Automated Defect Recognition in Carbide Products and it concerns the application of machine learning (in particular, image recognition) techniques and tools to detect defects in products manufactured by Ceratizit, at different stages of the fabrication process.
The project also investigates scalable solutions to support the reliable deployment of related techniques (AutoML, image enhancement, data augmentation, feedback loops ) in the industrial settings of Ceratizit Luxembourg.
The project is held in close collaboration with Ceratizit and, as the successful candidate, you will be expected to spend an appreciable amount of your time in their Luxembourgish HQ and factory (located in Mamer).
The supervision team you will be working with is :
You will be required to perform the following tasks :
The candidate should possess an MSc degree or equivalent in Computer Science, Applied Mathematics or Material Science (with good knowledge of computer science).
Experience : The ideal candidate should have some knowledge and / or experience in a number of the following topics :
Strong programming skills are required (mainly python).
Language Skills : Fluent written and verbal communication skills in English are required.
The University offers a Ph.D. study program with an Initial contract of 14 months, renewable up to 36 months, with a further possible 1-year extension if required.
The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university.