Research Position (PhD) in Experimental Magnetic Resonance Imaging (MRI)
The Medical Physics Group at the Jena University Hospital invites applications for a research scientist (PhD candidate) in the field of experimental small animal magnetic resonance imaging (MRI).
The Medical Physics Group participates with an independent, but networked project within the larger interdisciplinary research project QualiPerf (duration of four years) whose funding was approved Oct 2020. The project start is planned for June 2021.
We are looking for a highly motivated person to develop and implement MR sequence methods and improvements for functional abdominal imaging in rats as well as carry out the corresponding animal experiments and perform data analyses. We seek to fill the position with an experienced physicist or biomedical engineer, who ideally has a profound knowledge of MRI physics and mathematics, and is motivated for practical work with animals. The candidate will develop, implement and test MR sequences. He/she is also expected to operate the MRI hardware, analyze the data and prepare them for common data storage and accessibility for the project partners. A Linux based server and cluster environment is available for data storage and analysis.
The research is carried out in a cooperative and interdisciplinary working environment with many opportunities for independent scientific work. A degree in (medical) physics, biomedical engineering, biophysics, or a related discipline with a strong background in mathematics and magnetic resonance imaging is preferred. Explicit prior experience in MRI will be highly valuable.
The successful candidate should have
- Curiosity, motivation and readiness for action
- Hands-on experience of MR imaging data acquisition
- Keen interest in MR sequence programming, data reconstruction, processing & analysis
- Interest and motivation to work with animals (rats) in a research setting
- Good programming skill with, e.g., Matlab (analysis) and C++ (sequences)
- Strong written and oral English communication skills