Research Assistant/Associate - ESR fellow within the Marie Sklodowska-Curie project xCTing bei RWTH Aachen University

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term of two years.
A further employment of one year is planned.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a full-time position.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

RWTH Aachen University is one of the most renowned technical universities of Europe and has recently successfully renewed its position as German University of Excellence. The Laboratory for Machine Tools and Production Engineering WZL is among the largest and leading institutes in the domain of production technology. Within this framework, the Chair of Production Metrology and Quality Management held by Prof. Dr.-Ing. Robert H. Schmitt conducts research on data-driven approaches to sensing, automation, process control, quality management, sustainability and organisational development .

The research group Industrial Tomography and the team of WZL's measuring room work on further innovation in industrial X-ray Computed Tomography (xCT) and its application in highly relevant industry sectors, e.g. battery production or additive manufacturing. The high extent of academic and industrial collaboration in this field over the recent years manifests the research group's expertise.

About the Project xCTing

First-time-right and zero-defect manufacturing of customized lot-size-one products are essential elements of the Industry 4.0 paradigm shift to reinforce Europe's global leadership in manufacturing. X-ray Computed Tomography (CT) metrology has a key role to play in this transition, since it is the only known technology that can certify nondestructively the quality of internal complex structures, such as those produced by additive manufacturing or found in assemblies.

However, CT largely remains an off-line technology, due to the unsolved trade-off between scan speed and scan quality, and the need for extensive expert user input. xCTing will therefore focus on significantly increasing autonomy, robustness and speed in CT metrology in order to support its transition towards a fully in-line quality assurance technology as required in Industry 4.0 environments . Meeting these challenges requires the integration of a broad range of interdisciplinary expertise, including physics, manufacturing, dimensional metrology, machine learning, as well as efficient and reliable big data analytics and visualization.

In order to achieve the envisaged innovation breakthrough in the European industry, Europe is in dire need of innovators who can combine this variety of competences with entrepreneurial skills. The xCTing project is a pan-European industrial-academic initiative committed to provide the unique and encompassing training environment required to foster this 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. The overall aim of the xCTing project is to train 15 promising researchers (ESRs) that will take the lead in conceiving the next generation of European Industry 4.0-ready CT technology. The xCTing consortium consists of 9 beneficiaries and 6 partner organisations.

xCTing is a European Marie Sklodowska-Curie Innovative Training Network, funded by the European Union within the Horizon 2020 framework.

Ihr Profil

We are looking for a Research Assistant/Associate (f/m/d) joining our interdisciplinary and motivated team. Beside possessing excellent communication skills and a target-oriented, analytic working style, you should identify yourself within the following profile:

• You have successfully completed a University degree (Master or equivalent) in Computer Science, Physics, Mathematics or Mechanical Engineering or similar studies
• You possess advanced programming skills in at least Python, C++ and/or CUDA
• Prior experience in data analysis and data visualization is beneficial
• You are affine to novel technologies and significantly interested in industrial metrology
• You have a significant interest in computed tomography, industrial metrology and are open to interdisciplinary work
• Profound skills in written and oral English are required
• You are willing