Post Doc Position

Title:

Postdoc Multimodal and Real-time Monitoring of humans with a hybrid team

Application:

Mission:

In collaboration with experts from IRL Crossing (AI, Human Factors, Signal Processing, Embedded Systems) the mission consists in developing a state model (stress, fatigue, attention, performance) of a human operator with a real-time sensor fusion architecture using physiological, behavioral and environmental data. The aim will be to use this model to adapt, according to a team performance criterion, the distribution of tasks (load, complexity) between an operator and autonomous agent (AI).

Activities:

– Modeling of the state of a human operator using sensor fusion techniques

– Development of an efficient model using machine learning techniques

– Implementation of the model under constraint of processing resources

– Implementation of an adaptation scenario based on an industrial case study.

Skills:

Given the multidisciplinary nature of the topic, the project can be adapted to the profile of the researcher.

PhD with the following essential skills:

– Software development (C++, python, ..)

– Data fusion or signal processing applied to neurophysiological data.

At least one of the following skills is desired

– Machine learning

– Embedded systems

– Real-time systems

– Human factors or behavioural neuroscience

 Context:

– International Crossing Laboratory located in Adelaide

– Work in collaboration with researchers :

> University of Adelaide (Prof. Anna Ma Wyatt, Prof. Javen Shi, Prof. Lang White)

> UNISA (Prof. Siobhan Banks)

> CNRS (Prof. J. Diguet, Prof. C. Buche, A / Prof. P. Rauffet)

 Contact:

jean-philippe.diguet@cnrs.fr or anna.mawyatt@adelaide.edu.au