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Universiteit Antwerpen

Engineer/Technical staff position in rodent neuroMRI


Universiteit Antwerpen | Campus Drie Eiken, Universiteitsplein 1, 2610 Wilrijk | Fixed-term, Full-time

University of Antwerp is seeking to fill the following full time vacancy (m/f) at the Department of Biomedical Sciences of the Faculty of Faculty of Pharmaceutical, Biomedical and Veterinary Sciences:

Engineer/Technical staff position in rodent neuroMRI

Job description

A position for engineer/technical staff is available for a multidisciplinary project that aims to study an animal model for Huntington’s Disease (HD) using different MRI modalities. The Bio-Imaging Lab has already great expertise in acquiring and analyzing BOLD-based functional connectivity (FC), perfusion (pCASL) data. The engineer will support the data acquisition and processing within a multidisciplinary project characterizing the Q175 mouse model for HD and studying the impact of mHTT suppression strategies, using advanced multimodal in vivo imaging techniques (MRI (brain perfusion, FC and quasi periodic (brain activity) patterns (QPP)) & PET) and immunohistochemistry. Data will be acquired on 7T and 9,4 T Bruker scanners. The project is multidisciplinary and masters a wide range of techniques including acquiring data of dedicated animal models, and advanced image analysis.
The core R&D activity of the Bio-Imaging Lab ( is experimental high resolution neuroMRI focusing on neurodegeneration, neuromodulation and neuroplasticity. The research is performed on rat and mouse models for different human neuropathologies and on songbirds as a model for neuroplasticity and learning. We have two 7Tesla 16 cm and one 9.4Tesla 20 cm horizontal bore in-vivo MRI scanners and a cryocoil from Bruker (Germany) and a desktop 4.7Tesla from MRSolutions (UK)).
Our group has access to micro PET/SPECT/CT and BLI and advanced image processing through other UA research teams with whom we are clustered into a large UA imaging consortium EGAMI (Expert Group Antwerp Molecular Imaging


  • You hold a master degree (or equal qualification based on experience) in Biomedical Engineering, Bio-Engineering, Physics, Informatics, Biomedical sciences with expertise/experience in imaging, or related fields.
  • Students in the final year of their degree can also apply.
  • You can submit outstanding academic results.
  • You have experience in programming.
  • You have experience or a great interest in digital data processing and statistical analysis.
  • You have knowledge of Python, Matlab, C ++ for the processing and analysis of the functional, physiological and / or biological MRI data.
  • You have a FELASA B/C attest or willing to obtain one.
  • Preferably you have experience with (small animal) in-vivo Neuro MRI.
  • You are quality-oriented, conscientious, creative and cooperative.
  • You are fluent in English and have strong communication skills.
  • You are motivated and willing to give the best of yourself in your work.
  • You work safely and environmentally conscious.


  • A contract for a period of one year, with the possibility of prolongation after positive evaluation. Gross monthly salary depending on seniority and relevant qualifications;
  • A dynamic and stimulating work environment.
  • The start date is as soon as possible

More info

Send your application, CV and two names of referees to and
Further information can be obtained from:
Prof. Marleen Verhoye, Tel:+32 (0)3 265 27 86,
Prof. Annemie Van der Linden, Tel: + 32 (0)3 265 27 75,,
Secretary, Bio-Imaghing Lab: +32 (0) 3 265.27.80
Deadline of application is July 21th, 2019

The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label 'HR Excellence in research'.

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    • Function type: Project leader, technical responsible
    • Sector: Science and Research
    • Campus Drie Eiken, Universiteitsplein 1, 2610 Wilrijk
    • All jobs at Universiteit Antwerpen


    • Master (University or Higher Education Long Type)


    • Fixed-term
    • Full-time

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