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PhD Student (gn*) Physics, Biophysics, Biomedical Imaging, Data Science, or a related field

PhD Student (gn*) Physics, Biophysics, Biomedical Imaging, Data Science, or a related field

PhD Student (gn*) Physics, Biophysics, Biomedical Imaging, Data Science, or a related field

PhD Student (gn*) Physics, Biophysics, Biomedical Imaging, Data Science, or a related field

Universitätsklinikum Münster

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PhD Student (gn*) Physics, Biophysics, Biomedical Imaging, Data Science, or a related field

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Fixed-term of 3 years | Part-time with 65% (25 hours/week) | Salary according to TV-L EG13 | European Institute for Molecular Imaging

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.

To meet our high standards every day, we are looking forward to your scientific support at the European Institute for Molecular Imaging. The primary objective of the group’s research is to examine the function of immune cells in response to inflammatory processes in living organisms by employing innovative imaging methodologies. In this project, novel techniques are being developed for tracking radio-labelled cells, either as cell populations or even individual cells. This is being achieved by combining whole-body positron emission tomography (PET) with magnetic resonance imaging (MRI). In conjunction with the development of algorithms, dedicated software and hardware-based simulations will be developed for pre-clinical and clinical application. These will support the development and validation of the cell tracking algorithms.

The present project is embedded in a DFG Clinical Research Centre, entitled "Multiscale imaging of organ-specific inflammation" (https://www.uni-muenster.de/CRC-inSight/research/area-A/A05.php). Within this Centre, we are working together with Computer Science and Applied Mathematics specialists of the University of Münster as well as experts on Magnetic Resonance Imaging.

The European Institute for Molecular Imaging (EIMI) is an interdisciplinary institute within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory, infectious, neurodegenerative diseases, and cancer. The EIMI is located in the Multiscale Imaging Center (MIC), which hosts research groups from our university combining a broad range of state-of-the-art imaging technologies for the investigation of biomedical questions.

RESPONSIBILITIES:

  • Developing and implementing novel methods for the tracking of radio-labelled immune cells using combined PET and MRI imaging modalities
  • Designing, conducting, and analyzing experimental PET(/MRI) measurements in pre-clinical and clinical settings
  • Developing and validating computational and hardware based simulations, algorithms, and software tools for cell tracking
  • Participate in the CRC 1450 graduate school and presenting research findings at internal meetings and international conferences

REQUIREMENTS:

  • A Master degree in Physics, Computer Science, Biomedical Imaging, or a related field
  • A strong interest in molecular imaging (PET) and magnetic resonance imaging
  • Experience with programming (Python, C++, Matlab)
  • A keen interest in experimental work, as the successful candidate will, in addition to developing new methods and theoretical simulations, be conducting experimental measurements on PET(/MRI).
  • Oral and written communication skills - English (required) and German (desired)
  • High motivation for scientific work and willingness to work in an interdisciplinary team

WE OFFER:

  • A broad education and training in the structured graduate programme of our highly interactive consortium (CRC inSight)
  • Career development in a multidisciplinary and committed research team
  • Modern infrastructure, international and collaborative research environment

For inquiries please contact: Prof. Dr. Klaus Schäfers; schafkl@uni-muenster.de

Apply now via our career portal until 15.10.2025, including

  • Cover letter describing your research interest and why you are suitable for the position (maximum 1 page)
  • CV including a list of relevant publications
  • Copy of the official academic transcript of your degree
  • Names, e-mail addresses, and telephone numbers for 2 academic references
BESTE BEDINGUNGEN:

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