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[EXPIRED] The Capital Region of Copenhagen is looking for a PhD candidate in EEG and ultra-high field MRI within developmental neuropsychiatry

Are you interested in unravelling how alterations in developing brain function and structure contribute to developmental psychiatric disorders? Do you thrive working in inspiring multidisciplinary teams, bridging between brain mapping, computational modelling, and clinical neuroscience? Then you are the person we are looking for!

The Danish Research Centre for Magnetic Resonance (DRCMR) at Copenhagen University Hospital Hvidovre (Denmark) is seeking a 3-year PhD candidate in EEG and ultra-high field MRI within the field of developmental psychiatry. Together with our strong clinical collaborators at the Child and Adolescent Psychiatry Unit, we are currently running the prospective Danish High Risk and Resilience Study (VIA) (www.drcmr.dk/via). The VIA study longitudinally follows the largest register-based cohort of children (n=522) in the world born to parents with schizophrenia or bipolar disorder or none of these disorders. Children were assessed at the ages of 7, 11, and 15 years with neuroimaging included at age 11 and onwards. We are currently running the second longitudinal neuroimaging follow-up at age 19 years.

You will mainly be working on the longitudinal VIA data, with a focus on EEG data and 7T spectroscopy data. The project involves collection of both EEG and MRI data in the VIA cohort as well as analyses of EEG and MRI data, with a strong focus on the EEG part.

You will be a member of the “Developmental Psychiatry” group (www.drcmr.dk/developmental-psychiatry)  where the VIA project is embedded (www.drcmr.dk/via). You will thereby have ample possibilities to interact with researchers who are working on related multimodal neuroimaging studies.

The PhD candidate position involves a tight collaboration with Prof. Merete Nordentoft (Region Hovedstaden - Psychiatry and University of Copenhagen) as the main PI of the VIA cohort study and the VIA neuroimaging group, including neuroimagers at DRCMR and the Center of Integrative Neuroscience (CFIN), Aarhus, Denmark.

Qualifications:

  • Master's degree in neuroscience, computational science and engineering, psychology or equivalent.
  • Experience with EEG and/or MRI data acquisition and/or data analyses.
  • Experience in Matlab or Python programming is highly desired.
  • Experience with signal processing and data analyses is desired.
  • You have a good team spirit, innovative and constructive thinking and are excited about research.
  • You have an interest and/or experience in mechanisms/pathophysiology related to child- and adolescent mental health and developmental neuropsychiatry.
  • You enjoy being part of a multidisciplinary and international research team and integrating technological innovations into your neuroscience research.
  • You possess good English communication skills.

The project will be carried out at the DRCMR, which is a leading research centre for biomedical MRI in Europe (www.drcmr.dk) focusing on the brain. Approx. 75 researchers from more than 20 countries and a diverse range of disciplines are currently pursuing basic and clinically applied MR research and its validation with a focus on structural, functional, and metabolic MRI of the human brain and its disorders. The DRCMR is embedded in the Department of Radiology and Nuclear Medicine, a large diagnostic imaging department including all biomedical imaging modalities at the Copenhagen University Hospital Hvidovre.

The DRCMR has a state-of-the-art research infrastructure for preclinical and human medical imaging, which includes six whole-body MR scanners (one 7T, four 3T and one 1.5T scanners), a preclinical 7T scanner, a High-Performance Computer cluster and several state-of-the-art laboratories for electrophysiology and non-invasive brain stimulation.

The postdoc project will be supervised by Senior Researcher Melissa Larsen and Professor Hartwig Siebner.

Salary and Terms of Employment:

You will be employed as a PhD candidate for a period of 3 years. 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. 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.

 

Selected Publications

Gregersen, F., Eroğlu, H. H., Göksu, C., Puonti, O., Zuo, Z., Thielscher, A. & Hanson, L. G.
MR imaging of the magnetic fields induced by injected currents can guide improvements of individualized head volume conductor models.
Imaging Neuroscience. 2, p. 1-15, https://doi.org/10.1162/imag_a_00176 (2024).

Göksu, C., Gregersen, F., Scheffler, K., Eroğlu, H. H., Heule, R., Siebner, H. R., Hanson, L. G. & Thielscher, A. Volumetric measurements of weak current-induced magnetic fields in the human brain at high resolution. Magn Reson Med.  DOI: 10.1002/mrm.29780 (2023).

Hosseini, S., Puonti, O., Treeby, B., Hanson, L. G. & Thielscher, A.
A Head Template for Computational Dose Modelling for Transcranial Focused Ultrasound Stimulation. NeuroImage. p. 120227. DOI: 0.1016/j.neuroimage.2023.120227 (2023).

Rahbek, S., Mahmood, F., Tomaszewski, M. R., Hanson, L. G. & Madsen, K. H. Decomposition-based framework for tumor classification and prediction of treatment response from longitudinal MRI, Phys in Med and Biol. DOI: 10.1088/1361-6560/acaa85, 2023.

Rahbek, S., Schakel, T., Mahmood, F., Madsen, K. H., Philippens, M. E. P. & Hanson, L. G. Optimized flip angle schemes for the split acquisition of fast spin-echo signals (SPLICE) sequence and application to diffusion-weighted imaging. Magn Reson Med, DOI: 10.1002/mrm.29545, 2023.

Laustsen, M., Andersen M., Xue, R., Madsen, K. H., & Hanson, L. G., Tracking of rigid head motion during MRI using an EEG system, Magn Reson Med, DOI: 10.1002/mrm.29251, 2022.

Gregersen, F., Göksu, C., Schaefers, G., Xue, R., Thielscher A., & Hanson L. G., Safety evaluation of a new setup for Transcranial Electric Stimulation during Magnetic Resonance Imaging, Brain Stimulation. 14, 3, p. 488-497, 2021.

Göksu, C., Scheffler, K., Gregersen, F., Eroğlu, H. H., Heule, R., Siebner, H. R., Hanson, L. G. & Thielscher, A. Sensitivity and resolution improvement for in vivo magnetic resonance current-density imaging of the human brain. Magn. Reson. Med. 86, p. 3131-3146, 2021.

Rahbek, S., Madsen, K. H., Lundell, H., Mahmood, F. & Hanson, L. G. Data-driven separation of MRI signal components for tissue characterization. J. Mag. Res. 333, p. 1-11. 2021.

Busoni, S., Bock, M., Chmelik, M., Colgan, N., De Bondt, T., Hanson, L. G., Israel, M., Kugel, H., Maieron, M., Mazzoni, L. N., Seimenis, I. & Vestergaard, P. ADDENDUM to EFOMP Policy statement No.14 "The role of the Medical Physicist in the management of safety within the magnetic resonance imaging environment: EFOMP recommendations". Physica Medica. 89, p. 303-305, 2021.

Sánchez-Heredia, J. D., Olin, R. B., McLean, M. A., Laustsen, C., Hansen A., Hanson, L.G., & Ardenkjaer-Larsen, J. H., Multi-Site Benchmarking of Clinical 13C RF Coils at 3 T, J Magn Reson, 318:106798, 2020.

Olin, R. B., Sánchez-Heredia, J. D., Schulte, R. F., Bøgh, N., Hansen, E. S. S., Laustsen, C., Hanson, L. G. & Ardenkjaer-Larsen, J. H. Three-dimensional accelerated acquisition for hyperpolarized 13 C MR  with blipped stack-of-spirals and conjugate-gradient  SENSE. Magn Reson Med 84, p. 519-34, 2020.

Pedersen, J. O., Hanson, C. G., Xue, R. & Hanson, L. G. Inductive measurement and encoding of k-space trajectories in MR raw data. MAGMA 32, p. 655-667, 2019.

Göksu, C., Scheffler K., Siebner H. R., Thielscher, A., & Hanson, L. G. The stray magnetic fields in Magnetic Resonance Current Density Imaging (MRCDI), Phys Med 59, p. 142-150, 2019.

Pedersen, J. O., Hanson, C. G., Xue, R. & Hanson, L. G. Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures.
ISMRM 27th Annual Meeting & Exhibition 2019.

Pasquinelli, C., Hanson, L. G., Siebner, H. R., Lee, H. J. & Thielscher, A. Safety of transcranial focused ultrasound stimulation: A systematic review of the state of knowledge from both human and animal studies. Brain Stimulation. 12, 6, p. 1367-1380, 2019.

Hansen, R. B., Sánchez-Heredia, J. D., Bøgh, N., Hansen, E. S. S., Laustsen C., L. G. Hanson & Ardenkjær-Larsen,  J. H. Coil profile estimation strategies for parallel imaging with hyperpolarized 13 C MRI, Magn Reson Med 82, p. 2104-17, 2019.

Göksu, C., Scheffler K., Siebner H. R., Thielscher, A., & Hanson, L.G. The stray magnetic fields in Magnetic Resonance Current Density Imaging (MRCDI), Phys Med 59, 142-150, 2019.

Magnusson, P., Boer, V., Marsman, A., Paulson, O. B., Hanson, L. G. & Petersen, E. T. Gamma-aminobutyric acid edited echo-planar spectroscopic imaging (EPSI) with MEGA-sLASER at 7T, Magn Reson Med, 81(2), p. 773-780, 2019.

Pedersen, J. O. Encoding of non-MR signals in Magnetic Resonance Imaging data. PhD thesis, Technical University of Denmark, Electrical Engineering, 2018.

Pedersen, J. O., Hanson, C. G., Xue, R.  & Hanson, L. G. General Purpose Electronics for Real-Time Processing and encoding of non-MR Data in MR Acquisitions, Concepts in Magn Reson B, 48B(2), e21385, 2018.

Eldirdiri, A., Posse, S., Hanson, L. G., Hansen, R. B., Holst, P., Schøier, C., Kristensen, A. T., Johannesen, H. H., Kjaer, A., Hansen, A. E.  & Ardenkjær-Larsen, J. H. Development of a Symmetric Echo Planar Spectroscopic Imaging Framework for Hyperpolarized 13C Imaging in a Clinical PET/MR Scanner, Tomography, 4(3), p. 110-22, 20184(3), p. 110-22, 2018.

Wilhjelm J. E., Duun-Henriksen J. & Hanson L. G., A virtual scanner for teaching fundamental magnetic resonance in biomedical engineering, Comput Appl Eng Educ, 26(6), p. 2197-2209, 2018

Göksu, C., Hanson, L. G., Siebner, H. R., Ehses, P., Scheffler, K. & Thielscher, A. Human in-vivo brain magnetic resonance current density imaging (MRCDI). NeuroImage. 171, p. 26-39, 2018.

Göksu C, Scheffler K, Ehses P, Hanson L.G & Thielscher A. Sensitivity Analysis of Magnetic Field Measurements for Magnetic Resonance Electrical Impedance Tomography (MREIT), Magnetic Resonance in Medicine. 79, p. 748-760, 2018.

Laustsen, M., Andersen, M., Lehmann, P. M., Xue, R., Madsen, K. H. & Hanson, L. G. Slice-wise motion tracking during simultaneous EEG-fMRI. Joint Annual Meeting ISMRM-ESMRMB 2018.

Petersen, J. R., Pedersen, J. O., Zhurbenko, V., Ardenkjær-Larsen, J. H. & Hanson, L. G. Ultra-low power transmitter for encoding non-MR signals in Magnetic Resonance  recordings. Joint Annual Meeting ISMRM-ESMRMB 2018.

Göksu, C., Hanson, L. G., Siebner, H. R., Ehses, P., Scheffler, K. & Thielscher, A. Comparison of two alternative sequences for human in-vivo brain MR Current Density Imaging (MRCDI). Joint Annual Meeting ISMRM-ESMRMB 2018.

Göksu, C., Hanson, L. G., Siebner, H. R., Ehses, P., Scheffler, K. & Thielscher, A. Human In-vivo Brain MR Current Density Imaging (MRCDI) based on Steady-state Free Precession Free Induction Decay (SSFP-FID). Joint Annual Meeting ISMRM-ESMRMB 2018.

Andersen, M., Hanson, L. G., Madsen, K. H., Wezel, J., Boer, V., van der Velden, T., van Osch, M. J. P., Klomp, D., Webb, A. G. & Versluis, M. J. Measuring motion-induced B0 -fluctuations in the brain using field probes. Magnetic Resonance in Medicine, 75(5):2020-30, 2016.

Andersen, M., Towards Motion-Insensitive Magnetic Resonance Imaging Using Dynamic Field Measurements. PhD thesis, Technical University of Denmark, Electrical Engineering. 109 p., 2016.

Hanson, L. G. The Ups and Downs of Classical and Quantum Formulations of Magnetic Resonance. Book chapter in Anthropic Awareness: The Human Aspects of Scientific Thinking in NMR Spectroscopy and Mass Spectrometry. Edited by: C Szantay, Jr. Elsevier, Chap. 3, p. 141-171, 2015.

de Nijs, R., Miranda, MJ., Hansen, LK., Hanson, LG. Motion correction of single-voxel spectroscopy by independent component analysis applied to spectra from nonanesthetized pediatric subjects. Magn Reson Med 2009, 62(5), 1147-1154.

Hanson, LG. Is quantum mechanics necessary for understanding magnetic resonance? Concepts in Magnetic Resonance Part A 2008, 32A(5), 329-340.

Hanson, LG. A graphical simulator for teaching basic and advanced MR imaging techniques. Radiographics 2007, 27(6), e27.

Hanson, LG., Lund, TE., Hanson, CG. Encoding of electrophysiology and other signals in MR images. J. Magn Reson Imaging 2007, 25(5), 1059-1066. 

Hanson, LG., Lund, TE., Hanson, CG. Encoding and transmission of signals as RF signals for detection using an MR apparatus. WO/2005/116676, PCT/DK2005/000343 2005.

Andersen, IK., Szymkowiak, A., Rasmussen, CE., Hanson, LG., Marstrand, JR., Larsson, HB. & Hansen, LK. Perfusion quantification using Gaussian process deconvolution. Magn Reson Med 2002, 48(2), 351-361.

Hanson, LG., Adalsteinsson, E., Pfefferbaum, A., Spielman, DM. Optimal voxel size for measuring global gray and white matter proton metabolite concentrations using chemical shift imaging. Magn Reson Med 2000, 44(1), 10-18.

Hanson, LG., Schaumburg, K., Paulson, OB. Reconstruction strategy for echo planar spectroscopy and its application to partially undersampled imaging. Magn Reson Med 2000, 44(3), 412-417.

News & Events

Group Members

Lars G. Hanson

Group Leader

External Collaborators

Section for MR, DTU Health Tech

Technical University of Denmark, Lyngby

Institute of Biophysics

Chinese Academy of Sciences, Beijing, China

Max Planck Institute for Biological Cybernetics

Tübingen, Germany