Connectionists: [Jobs] Post-doc opportunity - Essex UK - Bayesian computational models of neurophysiological data

[Citi, Luca]

We are pleased to announce this postdoctoral position in the Horizon 2020 project “POTION: Promoting social interaction through emotional body odours”. The project started in January 2019 and includes partners from the Universities of Pisa (Italy), Padova (Italy), and Essex (UK), the Universitat Politecnica De Valencia (Spain), the Katholieke Universiteit Leuven (Belgium), and the Karolinska Institutet (Sweden), and three companies ISPA CRL (Portougal), SRA Instruments (France) and Feel-Ing s.r.l. (Italy). POTION works on a novel technological paradigm to delve deeper into understanding meaningful social interaction, combining new knowledge about the chemical composition of human social chemosignals together with a novel olfactory-based technology designed to drive social behaviour.

The Essex team’s work on the project focuses on the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction. In particular, the models investigate the role of human chemosignals perception in social interactions. The models are identified using neurophysiological data (e.g. EEG), peripheral physiological activation (i.e., ECG, RESP, EDA) and behavioural changes (i.e., f-EMG) collected using VR scenarios of increasing complexity.

Applicants are expected to hold a PhD (or be close to submission) in Computational Neuroscience, Brain-computer Interfaces, Neural Engineering, Psychology, Machine Learning, Statistics, Physics, Mathematics, Computer Science or a closely related discipline. The ideal candidate will have significant experience in computational modelling of social interaction, signal processing, statistical modelling of neural signals and processes, brain-computer interfaces, and virtual reality interfaces. We particularly welcome female applicants and those from an ethnic minority, as they are currently under-represented in our department.

DEADLINE: 22/03/2023
Further information and submission of applications: https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=254483S6Ft&WVID=9918109NEm&LANG=USA



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Prof. Luca Citi PhD, FHEA
School of Computer Science and Electronic Engineering
University of Essex
(pronouns he/him/his)

E lciti at essex.ac.uk<mailto:lciti at essex.ac.uk>
▶ www.essex.ac.uk/csee<https://www.essex.ac.uk/csee>
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