Research Engineer — APRIORI
We are seeking a research engineer to join us in a granted EU-funded project, (MSCA) 'APRIORI'. Materialise' role in the project will focus on first-time-right additive manufacturing by embracing digital twins in the part production workflow.
This doctoral project is part of a larger, multidisciplinary, and international project APRIORI: “Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance” (no. 101073551) funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission.
The manufacturing sector is and will continue to experience an evolving trend, marked by the exponential growth of additive manufacturing, the ongoing 4th industrial revolution (Industry 4.0), and an increasing demand of customization of manufactured products. However, the production and economic growth of the manufacturing sector need to meet unpostponable sustainability guidelines and criteria. This means minimizing the energy losses as much as possible. To fully sustain this ongoing transition of the EU manufacturing sector, two key technical challenges need to be simultaneously tackled: the uncertainty induced by the production process (e.g. human errors, geometrical and material variabilities caused by the manufacturing process, and/or by the machine setup) and the increasing complexity of the manufactured goods characterized by the critical parts or components. The ambition of APRIORI is to develop new technologies that will enable for the first time the development of a unique integrated product design strategy that will drastically improve the performance of critical parts or components under uncertainties.
APRIORI gathers universities (KU Leuven, TU Delft, Aalborg University), research institute (Jozef Stefan Institute) and small- and large-scale industry (Grundfos Holding AS, Materialise NV, Temporary Works Design 9 B.V., Qlector) from manufacturing, equipment design, manufacturing software and data-driven solutions sectors with the relevant expertise to create the coordinated research environment needed to develop integrated design strategies to produce better, long-lasting and sustainable products, by taking into account their manufacturing process. EU Researcher allowances will be used to cover both the employee's as the employer's mandatory charges
What you will do
- Change: Development of physical/AI/ML-based analyses of process and material data on a cloud system (Materialise’s CO-AM)
- Reporting towards external funding
- MSc degree required (Engineering or Science) à since this is an application for a PhD position
- Experience and interest in machine learning/AI (including deep learning)
- Knowledge of image processing
- You are a skilled Python user
- Other related technical skills are appreciated
- You have an interest in the economic/business aspects of industrial research and product development
- Interest in additive manufacturing
- Fluent knowledge of English, both written and verbal
- You will be hired as a Marie Sklodowska-Curie fellow
- You must not have had your residence or main activity (work, studies, etc.) in Belgium for more than 12 months in the 36 months before the recruitment date.
- knowledge in Engineering (Materials, Computer Science, Mechanical) and computer simulation is a plus (not a requirement)
Location and type of contract
- Leuven, Belgium
Working at Materialise
Materialise is a dynamic, international high-tech company, founded in 1990 and headquartered in Belgium, with over 2,300 employees worldwide. Materialise’s mission is to innovate for a better and healthier world through its software and hardware infrastructure and in-depth knowledge of additive manufacturing (also known as 3D printing). Our customers are in diverse industries, such as automotive, aerospace, medical, research, and academia.
As a growing company, Materialise is always looking for enthusiastic professionals who want to work in an environment full of revolutionary technology and surrounded by people passionate about their work.