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Postdoctoral Researcher Testing Audiovisual Gesture
Postdoctoral Researcher: Testing Audiovisual Gesture-Speech Integration in MEG
Nijmegen, Donders Centre for CognitionSluitingsdatum
: 1 december 2022
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Job description
We are looking for an experienced postdoctoral researcher who will use rapid invisible frequency tagging (RIFT) in MEG to test audiovisual integration of hand gestures and speech. This position is part of the ERC-funded HearingHands programme, investigating how temporal gesture-speech alignment contributes to audiovisual spoken communication across languages, populations and communicative settings.
As a postdoctoral researcher, you will use rapid invisible frequency tagging (RIFT) in MEG to pinpoint the neurobiological mechanisms underlying gesture-speech integration. Specifically, you will test how simple up-and-down beat gestures influence lexical stress perception in real time, using the 'manual McGurk effect' (Bosker & Peeters, 2021, Proc Roy Soc B). Furthermore, you will compare typical behavioural and neural signatures of gesture-speech integration to those in individuals with autism spectrum disorder (ASD) who are known to demonstrate impairments in prosody processing and audiovisual integration. Finally, you will run a large-scale correlational study testing whether the participants' own gestural timing behaviour is linked to their use of gestural timing in audiovisual speech perception.
Job requirements
- You hold a PhD in neurolinguistics, cognitive neuroscience, or a related field, and want to pursue an academic career.
- You are a highly motivated, independent, critical and creative researcher with a strong publication record.
- You are team-oriented, open to provide and receive feedback to/from lab mates, happy to support other research projects with your skills set, and keen to engage in scientific discussions.
- You have extensive EEG/MEG experience, including conducting source analyses, as evidenced by high-profile publications in neuroimaging journals. Prior experience with frequency-tagging techniques (e.g. rapid invisible frequency tagging; auditory steady state responses; visual steady state responses; fast periodic visual stimulation; steady state visually evoked potentials/fields) is particularly desirable.
- You have experience working with special populations, preferably individuals with ASD.
- You enjoy reading and writing code and have demonstrable experience using Fieldtrip, Matlab, Python, and/or R.
- You enjoy working with video/audio materials and have demonstrable experience in video editing (ffmpeg, Adobe Premiere Pro) and speech editing (Praat).
- You have an excellent command of spoken and written English.
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