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<p><br>
The <a href="www.caian.uni-bonn.de/en/">Hertz Chair for
Artificial Intelligence and Neuroscience at University of Bonn</a>
is looking to recruit a postdoctoral fellow or PhD student to
undertake high quality research and produce high-impact
publications in a collaborative research project investigating
human escape using wearable magnetoencephalography with optically
pumped magnometers (OPM).<br>
<br>
The goal of the advertised position is to understand the neural
control of human escape decisions in an immersive virtual reality
(VR) environment using an OPM-compatible HMD, in collaboration
with the Wellcome Platform for Naturalistic Neuroimaging, which is
part of the FIL at the UCL Queen Square Institute of Neurology,
London, UK. The role includes<br>
<br>
- conceptual design of naturalistic VR scenarios that allow MEG
recordings<br>
- planning, conducting, and analysing MEG experiments<br>
- building robust pipelines for MEG analysis in naturalistic
settings<br>
- publication of research and development results<br>
</p>
<p><a
href="https://www.cell.com/iscience/fulltext/S2589-0042(23)02317-9">See
here for an example of our previous behavioural research in
virtual reality.</a><br>
<br>
Requirements for post doc applicants:<br>
- PhD in neuroscience, cognitive psychology, behavioural science
or a related area, by the agreed start date of the position
(essential)<br>
- experience with (cryogenic or wearable) MEG (essential)<br>
- experience with Matlab (SPM or fieldtrip) and R (tidyverse)
(essential)<br>
- experience with virtual reality (preferably Unity and C#) would
be a plus<br>
- experience with analysing movement data would be a plus<br>
</p>
<p>Requirements for PhD applicants:<br>
- MSc in neuroscience, psychology, natural sciences, engineering,
or a related area, by the agreed start date of the position
(essential)<br>
- experience with one of these three areas: (a) MEG (cryogenic or
wearable), (b) EEG, (c) virtual reality (preferably Unity and C#)<br>
- experience with Matlab (SPM or fieldtrip) and R (tidyverse)
(essential)<br>
- experience with analysing movement data would be a plus<br>
</p>
<p>The successful candidates on either level will have ample
experience in programming, and a good publication record.<br>
<br>
Applicants should submit a current CV, a personal statement
describing their experience and interests, and contact information
for three referees, as a single PDF document, by 15 January 2025
to <a class="moz-txt-link-abbreviated" href="mailto:caian.office@uni-bonn.de">caian.office@uni-bonn.de</a>. Interviews will be conducted online
between 27 January and 7 February 2025. Enquiries can be directed
to Prof. Dominik Bach, <a class="moz-txt-link-abbreviated" href="mailto:d.bach@uni-bonn.de">d.bach@uni-bonn.de</a>.</p>
<p><a
href="https://www.caian.uni-bonn.de/en/team/opportunities/jobs-meg">More
information can be found here.</a><br>
</p>
<pre class="moz-signature" cols="72">--
-----------------------
Prof. Dominik R Bach, MBBS PhD
Hertz Chair for Artificial Intelligence and Neuroscience
University of Bonn
Am Propsthof 49
53121 Bonn, Germany
<a class="moz-txt-link-freetext" href="https://www.caian.uni-bonn.de/en/">https://www.caian.uni-bonn.de/en/</a> | @bachlab_cog</pre>
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