School of Computer Science and Electronic Engineering (CSEE)The School of Computer Science and Electronic Engineering (CSEE) is a large and dynamic department in the Faculty of Science and Health. The School is internationally known for its research in a range of areas and offers an excellent education to its students.The Essex Brain-Computer Interfaces and Neural Engineering laboratory is happy to announce two postdoctoral positions in the project "Adaptive joint cognitive systems for complex and strategic decision making: building trust in human-machine teams through brain-computer-interface augmentation, social interaction and mutual learning". The project is supported by the Bilateral Academic Research Initiative (BARI) programme 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 Oxford, the University of Southern California, the University of California Berkeley, Harvard Medical School and the University of Massachusetts Medical School.
Appointments will be made as Senior Research Officer.
Duties of the RoleThe main purpose of this post will be to conduct research, development and dissemination of neural engineering techniques within the BARI project.
The Essex team's working on the project will have four main strands:
* Neural and behavioural correlates of metacognition, trust, conformity, errors and low-confidence judgements; Brain-Computer Interfaces (BCI); decoding mental states associated with decision-making processes; signal processing and extraction of information from EEG and other physiological signals.
* Behavioural, physiological and neural markers of effective group cooperation; effects of different levels and forms of social interaction on group performance; team and teamwork performance indicators; integrating team-member decisions; optimally communicating group decisions and states.
* Reinforcement and interpretable machine learning; predictive uncertainty; surrogate ground truth.
Duties will include designing and implementing software for the execution of experiments with audio-visual and textual stimulation, producing high-quality journal and conference papers and presenting at conferences and researching and developing robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals.
A full list of duties can be found within the respective jobpacks.
Skills and qualifications requiredApplicants are expected to hold a PhD (or be very close to submitting their PhD thesis) in Biomedical Engineering, Brain-computer Interfaces, Neural Engineering, Electronic Engineering, Statistics, Physics, Computer Science, Artificial Intelligence or a closely related discipline. The ideal candidate will have significant experience in signal and biomedical signal processing and it would be desirable to have experience in BCI and machine learning.
Applicants are also expected to have evidence of a developing research agenda, engagement in high-quality research activity and a developing research profile; a developing record of publications in internationally recognised, reputable journals appropriate to career stage and discipline norms; and Strong communication skills, both written and verbal.
We particularly welcome applications from those who identify as female or non-binary as they are under-represented in the School.
Please note this post is fixed-term until the 31 October 2021.
At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.
To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives. For more information see: https://www.essex.ac.uk/life/student-facilities/religion-and-faith
Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 876559).
*More information: Working at the University