PhD Position in Bone Characterisation at the University Hospital of Würzburg
The main goal of the PhD project is the development of a data-driven MRI reconstruction algorithm that accelerates MRI-based bone imaging with ultra-short echo times. The work is performed within the project “Fast Hyperintense MR Imaging of Cortical and Trabecular Bone”, which is funded by the Interdisciplinary Center for Clinical Research (IZKF), University Hospital Würzburg.
The tasks include MRI simulations and measurements, the development and training of convolutional neural networks as well as the calibration and validation of the MRI-based technique based on dual-energy computed tomography. Eventually, the developed imaging technique will be applied in two promising applications in nuclear medicine:
- Comprehensive quantification of the volume fractions of different bone components in the lumbar vertebrae. This could lay the foundation for patient-specific dosimetry and thus lay the foundation for more personalized radionuclide therapies.
- Characterization of cortical and trabecular bone in patients with osteoporosis / Compari-son to the current state-of-the-art (dual X-ray absorptiometry) based on ionizing radiation.
The following knowledge or skills are of benefit:
- MSc in the field of physics, medical physics, biomedical engineering, or comparable
- High motivation, independent work style, ability to work in an interdisciplinary team
- Programming skills (preferably C++, Python, or MATLAB)
- Experimental skills
- Good knowledge of spoken and written English
You will initially be employed for a three-year period (65%). The salary will be paid in accordance with TV-L and the position is to be filled as soon as possible. Candidates with disabilities are given preference if they are of equal qualification.
We are looking forward to receiving your application including a letter of motivation, CV, and relevant certificates as a single PDF-file via E-mail at:
Prof. Dr. Tobias Wech ([email protected], 0931/201-34971), or
Dr. Johannes Tran-Gia ([email protected], 0931/201-35421)
