A 3-year Postdoc position in ultra-high field functional MRI

The aim of the position is to develop multimodal MRI processing methods specifically designed for ultra-high field 7T MRI for neuroscientific applications. The neuroscientific focus is on high-resolution topographic fMRI mapping of the sensorimotor cortex in patients with multiple sclerosis (MS). Potential topics include (i) sequence optimization; (ii) image reconstruction; (iii) multivariate prediction modelling & MRI processing pipelines, (iv) combination with electrophysiology.

About us:

The Danish Research Centre for Magnetic Resonance (DRCMR) is one of the leading research centers for biomedical MRI in Europe (www.drcmr.dk). We are an interdisciplinary research centre and our mission is to triangulate MR physics, basic physiology, and clinical research. Approximately 70 researchers from a diverse range of disciplines work together to pursue basic and clinically applied MR research with a focus on structural, functional, and metabolic MRI of the human brain and its disorders. Collaboration is key at DRCMR – we do not expect any research to be able to do everything alone, but we expect everyone to be interested in sharing knowledge with colleagues.

The DRCMR is embedded in the Center for Functional and Diagnostic Imaging and Research, a large diagnostic imaging department including all biomedical imaging modalities at Copenhagen University Hospital Hvidovre. DRCMR has close interaction with clinicians and radiologists and a state-of-the-art MR-research infrastructure, which includes a pre-clinical 7T MR scanner, six whole-body MR scanners (one 7T, three 3T and two 1.5T scanners), a neuropsychology laboratory, an EEG laboratory, and two laboratories for non-invasive brain stimulation.  

Your profile:

You should be an MR scientist with:

• A PhD degree or corresponding qualification in engineering, physics, computer science or a related field.
• A background in functional MRI data acquisition, pre-processing, and analysis.
• Documented experience with image processing software (SPM, FSL, FreeSurfer, ANTs etc.).
• Proficiency regarding MR scanner software and hardware, including the reconstruction pipeline, preferably for Philips MR systems.
• Experience with building machine learning algorithms for pattern classification and connectivity analysis.
• Previous experience with ultra-high field MRI is advantageous but not a requirement.
• Strong collaborative skills.

Your tasks:

• To support and expand on an ongoing functional 7T and structural MRI study in patients with Multiple Sclerosis.
• To optimize data acquisition and take full advantage of the ultra-high field strength by using the latest advancements in high-resolution functional MRI.
• To implement robust pre-processing pipelines for ultra-high field functional MRI data
• To develop novel imaging analysis methods rooted in deep learning algorithms.
• To engage in internal education, grant writing, knowledge dissemination, and publication of results in international, recognized scientific journals.

Your position:

• You will be employed for a three-year period at the Danish Research Centre for Magnetic Resonance where you will be part of the MS group.

Salary and Terms of Employment

Salary, pension and terms of employment are in accordance with the agreement between the Danish Regions (Danske Regioner) and the relevant professional organization. The salary depends on background education and seniority. Further, supplements can be negotiated. Note that candidates coming from abroad may be eligible for tax reductions. The position is open for candidates of all nationalities.

We see diversity as strength and encourage all persons regardless of gender, age, ethnicity, disabilities or religion to apply.

Applications should include a cover letter, CV and list of publications together with the names of three references. Applications must be submitted online through the Region H job portal, click here.

Application deadline: October 31^st, 2019 at 08:00 (CET)

For further information regarding the position, please contact Professor Hartwig R. Siebner

Direct line:  +45 3862 6541, Mobile: +45 5115 5951; Email: