Student practical training / Student Assistant / Volunteer internship / Research Assistant

Contactless inductive flow tomography (CIFT) is a method developed at the HZDR for determining the three-dimensional flow structure of hot, electrically conductive melts (such as molten steel). For this purpose, the flowing melt is excited with an externally applied magnetic field and the resulting flow induced magnetic field is measured. The induced magnetic field is superimposed by the excitation magnetic field and must be separated from it by suitable means of digital signal processing. The global flow profile is calculated from the induced magnetic field using software developed at HZDR.

Both the software for signal acquisition and processing and the algorithm for flow reconstruction are implemented in C++ in two different programs. Depending on your interest, your task is the further development of one of the two programs. In both cases, maintaining highest numerical accuracy is crucial. In addition, good code quality is to be aimed at. If there is interest, a program can be developed in Python to visualize the measurement data in real time.

• student of electrical or machine engineering, computer science or physics
• good C++ skills
• basic knowledge of Python
• able to work independently, thoroughly and systematically