Connectionists: JOB: Postdoc in Neural Engineering at University of Essex (UK) within outstanding international project - deadline 13th June

[Luca Citi]

The Essex Brain-Computer Interfaces and Neural Engineering laboratory is 
happy to announce a postdoctoral position in the newly funded project 
“Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision 
Accuracy”. The project is supported by the Multidisciplinary University 
Research Initiative (MURI) programme and it falls within the MURI theme 
“Modeling and Analysis of Multisensory Neural Information Processing for 
Direct Brain-Computer Communications” which is jointly funded by the US 
Department of Defense and the UK Ministry of Defence.

The project is in partnership with the University of Southern 
California, the University of California Berkeley, Harvard University, 
New York University, Cold Spring Harbor Laboratory, Imperial College 
London, and University College London. The award is initially for a 
three-year base period but may be extended for a further two-year period 
based on the project successfully achieving its planned outcomes in the 
first period.

The Essex team will work on brain-computer interfacing, on algorithms 
for signal processing and extraction of information from EEG and other 
physiological signals, on behavioural and neuro-physiological 
investigations of multisensory feature binding and integration, as well 
as methods for predicting the level of attention and confidence in 
decision making of a participant from behavioural, physiological and 
neural data in real time.

Please see full details at:
http://csee.essex.ac.uk/staff/lciti/muri_cn

Feel free to email me (lciti at essex.ac.uk) for an informal discussion 
about this post.

Some of the Essential/Desirable skills are:

#    Knowledge and experience of signal processing
#    Knowledge and experience in biomedical signal analysis
#    A strong publication record
#    Significant programming ability
#    Experience of designing brain-computer interfaces
#    Experience of parametric modelling of perception and/or decision making
#    Experience of designing experiments with audio-visual stimulation
#    Knowledge of the theory and application of stochastic processes
#    Knowledge of Bayesian modelling and inference
#    Experience of dynamic causal modelling of EEG data
#    Knowledge of inverse modelling and source reconstruction techniques
#    Knowledge of techniques for multimodal and multiscale neural signal 
integration
#    Programming ability in high-level numerical computing languages
(see full list at link above)