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<p class="inbox-inbox-p1">The section for Social and Affective Neuroscience, Department of Psychiatry, RWTH Aachen University, Germany, is offering a</p>
<p class="inbox-inbox-p1"><b>PhD position for 3 years in a DFG-funded project entitled:</b></p>
<p class="inbox-inbox-p1">“<b>Investigating the right and left temporo-parietal junction by system plasticity after virtual lesions</b>â€</p>
<p class="inbox-inbox-p1">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 <b>Department o</b>f <b>Neuropsychology at the MPI-CBS </b>Leipzig (<b>Dr. Gesa Hartwigsen</b>) and the <b>Department of Psychiatry of the RWTH Aachen University</b>.</p>
<p class="inbox-inbox-p1"><b>What you would work on: </b>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.</p>
<p class="inbox-inbox-p2"><span class="inbox-inbox-s1"><b>What we expect: </b>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 </span>skills, and experience in acquisition and analysis of neuroscientific or behavioural data. <b>What we provide: </b>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 <span class="inbox-inbox-s2">International Research Training Group IRTG2150</span>. The PhD student will be integrated in an international and interdisciplinary team under the supervision of Dr. Dr. Danilo Bzdok.</p>
<p class="inbox-inbox-p1"><b>Starting date </b>is <b>May 1</b><span class="inbox-inbox-s3"><b>st</b></span><b>, 2017 or later</b>. <span class="inbox-inbox-s4"><b><i>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 , </i></b></span><span class="inbox-inbox-s5"><b><i><a href="http://bit.ly/1Rf8TjY">http://bit.ly/1Rf8TjY</a></i></b></span><span class="inbox-inbox-s6"><b><i>)</i></b></span><span class="inbox-inbox-s4"><b><i>. </i></b></span>The RWTH Aachen is an equal opportunity employer, and international applicants are encouraged. Applications with the subject heading <b>‘PhD 05-17’ </b>should be sent to: <b>danilo(dot)bzdok(at)rwth- aachen(dot).de</b>. The deadline for application submission is <b>April 30</b><span class="inbox-inbox-s3"><b>th</b></span><b>, 2017</b>.</p>
<p class="inbox-inbox-p1">The application should include the following documents (in a single PDF-file):</p>
<p class="inbox-inbox-p1"><span class="inbox-inbox-s7">• </span>Cover letter describing personal qualifications and research interests</p>
<p class="inbox-inbox-p1"><span class="inbox-inbox-s7">• </span>Curriculum vitae</p>
<p class="inbox-inbox-p1"><span class="inbox-inbox-s7">• </span>Contact details of two personal references</p>
<p class="inbox-inbox-p1">For further details, please contact:</p>
<p class="inbox-inbox-p1">Prof. Dr. med. Dr. rer. nat. Danilo Bzdok</p></div>