Start Date
Immediate
Expiry Date
09 Dec, 25
Salary
0.0
Posted On
10 Sep, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
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 for 3 years.
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 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
We are looking for a new team member to join the research group “Data Science & Artificial Intelligence in Materials” at RWTH Aachen University as part of the Collaborative Research Centre (CRC) 1394 who will focus on developing new methods in electron backscatter diffraction (EBSD) analysis based on artificial intelligence.
The CRC 1394 focuses on the understanding the role of defect phases on the properties of materials. Across the research consortium, the materials are characterised using a wide range of methods, in this project we will focus on the analysis using electron backscatter diffraction. Since the change in the pattern due to defect phases is expected to be small, conventional analysis methods are likely not powerful enough to resolve the quantities of interest. Therefore, new methods, based on artificial intelligence, need to be developed to be able to analyse the intricate features of the crystals. As part of the funding for the CRC, a new EBSD detector will be procured that uses the TimePix sensor for direct electron capture. In collaboration with other projects of the CRC, as well as the vendor, we will also develop new methods to exploit the capabilities of this sensor to improve the image acquisition process.
Please refer the Job description for details