PhD Research Position in Electrical Impedance Tomography | PhD Position: Electrotomographic (m/d/w)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Job Summary
This PhD position focuses on advanced research within the Institute of Multiscale Simulation of Particulate Systems, aiming to reliably characterize liquid-gas bubble mixtures within pipe flows utilizing Electrical Impedance Tomography (EIT). The successful candidate will be responsible for developing and implementing computational methods, leveraging strong programming skills, particularly in C++ and Python, to handle complex data sets. A core component of the role involves extensive data analysis, applying modern techniques in artificial intelligence and machine learning to interpret tomographic results. This is an excellent opportunity for candidates holding a Master’s degree in fields such as Physics, Mechanical Engineering, or Computer Science who are seeking a challenging, fixed-term research project at the intersection of computational science and experimental physics.
Required Skills
Education
Master's degree in Physics, Mechanical Engineering, Materials Science, Computational Engineering, Computer Science (with strong interest in physics), or related subjects
Experience
- Skills and experience in data analysis
- Skills and experience in artificial intelligence
- Skills and experience in machine learning
Languages
Additional
- Fixed-term research project
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