we would like to invite to apply for an open PhD position at the Max
Planck Institute for Human Cognitive and Brain Sciences in Leipzig,
Germany. The ideal applicant would have experience in fMRI/MRI data
evaluation (e.g. with *SPM*) and also knowledge in working with *Matlab*.
The focus of our multi-disciplinary research group is on translational
approaches to investigate the neural correlates of cognitive and
behavioral dysfunctions in neurodegenerative disorders by applying
voxel-based morphometry (VBM). More specifically, we want to use
clinical (comprehensive neuropsychological) data from a large patient
group of the Day Clinic of Cognitive Neurology at the University of
Leipzig and relate it to atrophy and decreases in glucose utilization
(as measured by MRI and FDG-PET). The main focus of the project is
placing dementia in a framework of cognitive neuroscience. Findings
might be embedded into future behavioral and/or functional imaging studies.
Candidates with a background in medicine, psychology or a related field
should be interested in clinical neuroscience, neuroplasticity, as well
as in higher cognitive function and brain imaging. The successful
candidate will be enthusiastic and have a strong interest in this
exciting research area.
A background in MRI analysis techniques (SPM, Matlab etc.) and good
statistical skills would be of advantage. The Max Planck Institute in
Leipzig offers an excellent multi-disciplinary and interactive research
environment with access to excellent research facilities (3T and 7T
research MRI scanners, MEG, EEG, NIRS and TMS devices). The candidate
will profit from the neuropsychological expertise of the Day Clinic of
Cognitive Neurology that is tightly affiliated to the Max Planck
Institute. The position is funded for maximally 3 years from now and
will be held open until suitable candidates have been found.
In order to increase the proportion of female staff members, female
scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
To apply for the position, please send in PDF or other electronic form:
1) application letter
3) diploma/master certificate
4) table of contents and introduction of diploma/master thesis
5) school exam certificate
6) names of 2 referees (with telephone numbers)
Looking forward nice applications
Matthias Schroeter (schroet[at]cbs.mpg.de)
Karsten Mueller (karstenm[at]cbs.mpg.de)