Connectionists: Postdoc/PhD Position in Naturalistic Neuroimaging With Wearable MEG (Uni Bonn, Germany)

[Dominik Bach]

The Hertz Chair for Artificial Intelligence and Neuroscience at 
University of Bonn <www.caian.uni-bonn.de/en/> 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).

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

- conceptual design of naturalistic VR scenarios that allow MEG recordings
- planning, conducting, and analysing MEG experiments
- building robust pipelines for MEG analysis in naturalistic settings
- publication of research and development results

See here for an example of our previous behavioural research in virtual 
reality. <https://www.cell.com/iscience/fulltext/S2589-0042(23)02317-9>

Requirements for post doc applicants:
- PhD in neuroscience, cognitive psychology, behavioural science or a 
related area, by the agreed start date of the position (essential)
- experience with (cryogenic or wearable) MEG (essential)
- experience with Matlab (SPM or fieldtrip) and R (tidyverse) (essential)
- experience with virtual reality (preferably Unity and C#) would be a plus
- experience with analysing movement data would be a plus

Requirements for PhD applicants:
- MSc in neuroscience, psychology, natural sciences, engineering, or a 
related area, by the agreed start date of the position (essential)
- experience with one of these three areas: (a) MEG (cryogenic or 
wearable), (b) EEG, (c) virtual reality (preferably Unity and C#)
- experience with Matlab (SPM or fieldtrip) and R (tidyverse) (essential)
- experience with analysing movement data would be a plus

The successful candidates on either level will have ample experience in 
programming, and a good publication record.

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 
caian.office at uni-bonn.de. Interviews will be conducted online between 27 
January and 7 February 2025. Enquiries can be directed to Prof. Dominik 
Bach, d.bach at uni-bonn.de.

More information can be found here. 
<https://www.caian.uni-bonn.de/en/team/opportunities/jobs-meg>

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Prof. Dominik R Bach, MBBS PhD
Hertz Chair for Artificial Intelligence and Neuroscience
University of Bonn
Am Propsthof 49
53121 Bonn, Germany
https://www.caian.uni-bonn.de/en/ | @bachlab_cog
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