Winners of the BNA Credibility Prizes 2024
17th April 2024
The School of Computer Science and Electronic Engineering
The Essex Brain-Computer Interfaces and Neural Engineering laboratory is happy to announce a postdoctoral position in the 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 "Modelling and Analysis of Multisensory Neural Information Processing for Direct Brain-Computer Communications" which is jointly funded by the US Department of Defence 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.
Duties of the role
The Essex team's work on the project focuses 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.
Responsibilities will include developing research objectives and proposals for own or joint research; contributing to exchange knowledge activities; contributing to the development and maintenance of research resources and proactively participate in and develop internal and external networks, establishing links with relevant academic and professional bodies, contact and employers.
Skills and qualifications required
The successful candidate will hold a relevant doctoral level degree in Electronic Engineering, Brain-Computer Interfaces, Neural Engineering, Biomedical Engineering, Statistics, Applied Mathematics, Physics, Computer Science, Neuroscience or equivalent professional experience or practice or be close to completion of PhD.
You will have evidence of a developing research agenda, engagement in high-quality research activity and a developing research profile, along with a developing record of publications in internationally recognised, reputable journals appropriate to career stage, or evidence of research outputs and significant programming ability.
Ideally, you will have significant experience in signal processing, statistical modelling of neural signals and processes and brain-computer interfaces.
We strongly encourage women to apply as they are currently under-represented in the School of Computer Science and Electronic Engineering.
The successful candidate will join the Essex team - formed by Dr Luca Citi (PI), Prof Riccardo Poli (Co-I and UK team leader), Dr Caterina Cinel (named Research Fellow) - and will be part of the Essex BCI-NE Lab, today the UK's largest research group in brain-computer interfaces.
This post is initially fixed-term until the 31st of October 2019 but may be extended for two more years if further funding is approved.
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