Postdoc in MR Electric Impedance Tomography for Dose Control of Transcranial Electric Stimulation

Tuesday 09 Jul 19

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We are seeking a highly motivated Postdoc candidate to work on novel reconstruction methods for MR Electric Impedance Tomography (MREIT). It is a central part of a larger project headed by Associate Professor Axel Thielscher that aims to improve Transcranial Direct Current Stimulation (TDCS) of the human brain by means of accurate computational dose control.

The overarching aim in this project is to leverage our recently developed MREIT methods and FEM models of the TDCS-induced electric fields ( to quantify the physical stimulation strength of TDCS in the brain at the individual level. We aim to use this knowledge to assess dose-response relationships for TDCS in order to optimize the physiological stimulation outcome.

Responsibilities and tasks
Your main role in the project will be on the development and validation of improved reconstruction methods for human in-vivo MREIT data to gain information about the ohmic tissue conductivities on the individual level. For example, your research focus could be on new reconstruction methods that achieve stability and accuracy by incorporating prior knowledge and/or methods to systematically assess the uncertainty of the conductivity estimates in the presence of measurement noise. The knowledge gained in your work will provide key insight for the verification and calibration of the forward models for transcranial brain stimulation, but also for EEG and MEG.

The project is performed in collaboration with Professor Hartwig Siebner (DRCMR, Copenhagen University Hospital Hvidovre) and Professor Gottfried Schlaug (Beth Israel Deaconess Medical Center and Harvard Medical School, Boston), and the candidate will work both at DTU Health Tech and DRCMR. DRCMR is one of the leading research centres in Europe within the field of biomedical MRI. It offers a state-of-the-art MR-research infrastructure, which includes a pre-clinical 7T MR scanner and six whole-body MR scanners (one 7T, three 3T and two 1.5T scanners).

You will join the Neurophysics group headed by Axel Thielscher that develops advanced biophysical methods to improve transcranial brain stimulation. You will work in a highly motivating international project team that comprises activities at DRCMR, the Technical University of Denmark, the Beth Israel Deaconess Medical Center and the MR Center of the Max-Planck Institute for Biological Cybernetics (Germany).

Candidates should have a PhD degree in physics, computer science, biomedical engineering or equivalent academic qualifications. Prior experience in optimization methods, numerical methods for field calculations, MREIT or MRCDI reconstruction methods or EEG/MEG inverse methods are desirable. Good programming skills are desirable, preferably in Matlab, Python and/or C/C++. 

While the candidate’s focus will be on development of new methods, he or she should have a general interest to contribute to a neuroscientific project. The successful candidate should be highly motivated and have the ability to efficiently structure his or her own work while at the same time being willing to contribute to the project team. Interest in contributing to the development of our open-source software package SimNIBS is considered a plus.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years, and the employment will be to equal shares at DTU Health Tech and DRCMR. This setting will ensure that the candidate can benefit from the synergy offered by the two complementary research environments. Working language is English. Proficiency in Danish is not required.

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Further information
Further information may be obtained from Associate Professor Axel Thielscher,, tel.: +45 4525 5313.

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Application procedure 
Please submit your online application no later than 15 September 2019 (local time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications 
Applications and enclosures received after the deadline will not be considered.

Candidates may apply prior to obtaining their PhD degree, but cannot begin before having received it. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

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