Using Novel Sensing Approaches to Understand Processing of Touch in the Brain

The human brain continuously processes and integrates streams of multi-sensorial input to update aspects of behaviour, cognition and emotional responses. However, we usually struggle to articulate specific contributions driving aspects of subjective experience. Brain imaging methods enable us to tap into the complex processes which drive nuances of human experience or behaviour. Until now, researchers studying tactile (touch) processing have resorted to rigorously controlled experimental stimuli, e.g., robotic presentations, but this approach is inconsistent with the free exploration that humans employ in the real-world. This project will attempt to measure various key variables relating to touch (rather than attempting to control them) utilising novel sensor technologies for a brain-imaging investigation of self-guided tactile processing.

The goal of the proposed project is to develop a framework for data fusion between advanced sensing technology and electroencephalographic (EEG) brain imaging data. This will unlock deep insights into implicit brain processes underpinning self-directed touch, which can then be related to activity encoding other relevant aspects such as hedonic preference. The project comprises a) building a methodological and technical basis for fusion of sensor technology with high-density EEG data, and b) application of this framework to the study of hedonic preference.

We welcome applications from candidates with a strong background in digital signal processing, analysis of biological signals, and/or advanced processing of electroencephalographic data. Candidates should have expertise in Matlab programming (similar languages will be considered), and demonstrate interest in the applications of EEG analysis for neuroscience and cognitive psychology. Experience with EEGLAB, FieldTrip or similar software is desirable. We welcome applications from candidates with a minimum 2:1 Degree in Neuroscience, Psychology, Computer Science, Bio-engineering or similar. Relevant postgraduate training in research methods or similar is desirable.

Interviews will be held the week of the 18th June, 2018. Four year PhD Studentship funded by EPSRC UK commencing 1st October 2018.

The following documentation must be submitted via email to Dr Nick Fallon ([Email Address Removed]): 1) a CV; 2) a structured covering letter stating the reasons for your interest in the studentship and why you feel your experience and qualifications would make you a suitable candidate for this work; 3) transcripts and degree certificates (UG/PGT); and 4) details of two referees.

Please note that overseas applicants whose first language is not English will only be considered if they have achieved an overall IELTS (or equivalent) score of 7 or above, with a minimum pass of 6 in each of the core components.