[pymvpa] PhD position: machine-learning & systems neuroscience
Danilo Bzdok RWTH
danilo.bzdok at rwth-aachen.de
Thu Jan 19 09:40:25 UTC 2017
The section for Social and Affective Neuroscience, Department of
Psychiatry, RWTH Aachen University, Germany, is offering a
*PhD position for 3 years in a DFG-funded project entitled:*
“*Investigating the right and left temporo-parietal junction by system
plasticity after virtual lesions*”
In an innovative combination of experimental and computational approaches,
we will investigate the poorly understood difference between the left and
right temporo-parietal junctions with its functional relation to the
default mode network across a diverse set of psychological tasks. We will
capitalize on data-driven methods that learn network patterns caused by
temporary functional disruption of specific regions with a minimum of
a-priori assumptions. The project is a joint endeavour between the *Department
o*f *Neuropsychology at the MPI-CBS *Leipzig (*Dr. Gesa Hartwigsen*) and
the *Department of Psychiatry of the RWTH Aachen University*.
*What you would work on: *You will learn and employ different
machine-learning methods to address the functional relevance of the
temporo-parietal junction across different domains. Plasticity-inducing TMS
will be combined with functional neuroimaging to investigate short-term
reorganization and changes in effective connectivity in different cognitive
networks.
*What we expect: *The candidate must hold a master’s degree (or equivalent)
in computer science, neuroscience, or a related field. She / he is expected
to be a talented, enthusiastic, willing-to-learn researcher. The ideal
candidate will have a profound background in experimental psychology, solid
programming skills, and experience in acquisition and analysis of
neuroscientific or behavioural data. *What we provide: *The experiments
will be conducted at the MPI-CBS in Leipzig, Germany, an internationally
leading center for cognitive and imaging neuroscience equipped with a 7.0 T
MRI scanner, several 3.0 T MRI scanners, a 306-channels MEG system, several
TMS laboratories, tDCS, and several EEG systems. All facilities and data
analysis are supported by experienced IT and physics staff. PhD students
will have the possibility to benefit from the International Research
Training Group IRTG2150. The PhD student will be integrated in an
international and interdisciplinary team under the supervision of Dr. Dr.
Danilo Bzdok.
*Starting date *is *May 1**st**, 2017 or later*. *Payment will correspond
to salary grade 13/2 of the German Collective Bargaining Agreement for the
Civil Services (6 5 % T V L - 1 3 , **http://bit.ly/1Rf8TjY
<http://bit.ly/1Rf8TjY>**)**. *The RWTH Aachen is an equal opportunity
employer, and international applicants are encouraged. Applications with
the subject heading *‘PhD 05-17’ *should be sent to: *danilo(dot)bzdok(at)rwth-
aachen(dot).de*. The deadline for application submission is *April 30**th**,
2017*.
The application should include the following documents (in a single
PDF-file):
• Cover letter describing personal qualifications and research interests
• Curriculum vitae
• Contact details of two personal references
For further details, please contact:
Prof. Dr. med. Dr. rer. nat. Danilo Bzdok
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