2 PhD Positions in Advanced Magnetic Imaging

 

Key Responsibilities:

  • Develop and optimize hardware components to maximize signal sensitivity.
  • Investigate multi-channel and resonance-based techniques for improved imaging.
  • Implement AI-driven signal enhancement strategies.
  • Collaborate in an interdisciplinary research environment.

Candidate Profile:

  • Passion for advancing magnetic medical imaging technologies.
  • Background in hardware design, signal processing, or magnetic systems.
  • Programming skills (Python, C++/C#) beneficial.
  • Strong interest in interdisciplinary collaboration

 

PhD Positions for Design & Characterization of PET/MRI Modules

 

Key Responsibilities:

  • Development of novel mechanical integration concepts for PET modules in MRI.
  • Investigation of RF shielding strategies for optimal MRI signal integrity
  • Design and implementation of cooling and power distribution systems
  • Collaborate with the local workshop and external manufacturers to produce components.
  • Participate in the commissioning, testing, and installation phases, working closely with the team.
  • Systematic characterization of detector performance parameters

Candidate Profile:

  • Strong affinity for mechanical design and experience with CAD tools (SolidWorks).
  • Ability to work effectively in a multidisciplinary team, particularly in the context of MRI system integration.
  • Basic knowledge of electromagnetic fields and thermal management in electronic systems is an advantage.

PhD Position for PET Data Analysis, Calibration and Characterization

 

Key Responsibilities:

  • Investigation of the detector calibration procedure. This can be done in a calibration setup or within the assembled system itself by using gamma sources with known interaction locations in the detector. The calibration environment is typically implemented in Python.
  • Development of real-time capable data processing techniques to derive energy, time and location from the detector raw data by applying the calibration data acquired. The high-performance processing software is implemented in C/C++
  • Evaluation of the detector and system performance.
  • Investigation of the performance during simultaneous MRI image acquisition.

Candidate Profile:

  • Strong affinity for data analysis and machine-learning.
  • Programming experience in Python and C/C++ are of benefit.
  • Ability to work effectively in a multidisciplinary team.

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