View source for Postdoctoral Researcher (m/f/d) in MRI Method Development and Quantitative Imaging

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{{Job Announcement
  | image=LogoUniMPITuebingen.png
  | title=Postdoctoral Researcher in MRI Method Development
and Quantitative Imaging
  | short_text=Method development for perfusion imaging in the human lung with ASL.

Join us for a three year, DFG funded project in a cooperation between the university hospital Tübingen and the Max Planck Institute for Biological Cybernetics!
  | type=Postdoc
  | location=Tübingen, Germany
  | deadline_year=2026
  | deadline_month=12
  | deadline_day=31
  | salary_start= <!-- Optional: low end of the salary bracket, or fixed salary -->
  | salary_end= <!-- Optional: high end of the salary bracket -->
  | salary_currency= <!-- Compulsory if a salary was indicated -->
}}

The Section of Experimental Radiology at the University Hospital Tübingen, in
collaboration with the Department of High-Field Magnetic Resonance at the Max Planck
Institute for Biological Cybernetics, is seeking a motivated Postdoctoral Researcher to
join a three-year research project funded by the German Research Foundation (DFG)
in the field of Magnetic Resonance Imaging (MRI).

The project focuses on the development and optimization of innovative MRI techniques
for non-invasive, contrast-agent-free, quantitative imaging of pulmonary perfusion.
Specifically, the project aims to advance an MRI technique based on Pseudo-Continuous
Arterial Spin Labeling (PCASL) using a novel multiple-labeling approach and to investigate
its potential for clinical application. Key research objectives include optimizing MRI
sequences to improve signal quality and robustness, as well as developing and
implementing advanced methods for automated image post-processing and quantitative
analysis. Modern artificial intelligence (AI) and machine learning techniques will also be
considered as part of the methodological development.

<strong>Your responsibilities:</strong><br>

• Contribute to the development, implementation, and experimental optimization
of innovative MRI sequences, particularly for quantitative pulmonary perfusion
imaging using Arterial Spin Labeling (ASL).<br>
• Develop, implement, and optimize image post-processing methods, including
image registration, motion correction, segmentation, and quantitative image
analysis.<br>
• Apply and further develop automated image analysis pipelines, potentially
incorporating artificial intelligence and deep learning techniques.<br>
• Plan, conduct, and analyze experimental MRI measurements involving healthy
volunteers and support the technical implementation of clinical studies.<br>
• Prepare and publish research findings in international peer-reviewed journals and
present results at national and international scientific conferences.<br>

<strong>Your qualifications:</strong><br>

• A completed PhD in Physics, Medical Engineering, Biomedical Engineering,
Computer Science, or a closely related scientific or technical discipline.<br>
• Solid theoretical knowledge and hands-on research experience in Magnetic
Resonance Imaging, preferably in experimental MRI research.<br>
• Good programming skills in MATLAB and Python, along with experience in
scientific data processing.<br>
• Experience in medical image processing and quantitative image analysis.<br>
• Strong communication skills and enthusiasm for interdisciplinary collaboration.<br>
• Experience in MRI sequence programming, ideally using the Siemens IDEA
development environment, and hands-on experience with Siemens MRI systems
would be an advantage.

<strong>What we offer:</strong><br>

• A DFG-funded, full-time postdoctoral position for a period of three years.<br>
• A scientifically challenging and diverse research environment at the intersection
of experimental MRI physics, technical method development, medical image
processing, and clinical research.<br>
• Close scientific collaboration between the University Hospital Tübingen and the
Max Planck Institute for Biological Cybernetics.<br>
• A multidisciplinary research environment with collaborations across various
clinical departments and the MIDAS Lab.<br>
• Access to state-of-the-art Siemens Healthineers MRI systems operating at 1.5 T
and 3 T, supported by an established infrastructure for experimental MRI
research.<br>
• Support for publishing research findings in peer-reviewed journals and presenting
results at international scientific conferences, such as ISMRM and ESMRMB.<br>

<strong>Application:</strong><br>
We look forward to receiving your application, including the following documents:<br>
• Curriculum vitae (CV), including a list of publications.<br>
• A brief cover letter outlining your previous research experience, scientific
activities, and research interests.<br>
• Contact details of two academic referees.<br>

<strong>Contact:</strong> cecilia.liang@med.uni-tuebingen.de<br>
<strong>Application Deadline:</strong> December 31, 2026<br>
<strong>Preferred Start Date:</strong> As soon as possible<br>
<strong>Place of Work:</strong> Tübingen, Germany