Associate Research Fellow position available immediately for 25 months
The University of Exeter
College of Engineering, Mathematics and Physical Sciences
Closing date: 20th September 2013Based in the College of Engineering, Mathematics and Physical Sciences at the University of Exeter, you will undertake research into mathematical modelling and analysis of human social interactions. This is an exciting opportunity to contribute to a joint venture between movement scientists from Montpellier 1 University in France, computer science experts from the DFKI centre (Germany), mathematicians from the University of Exeter and Bristol (UK), roboticists from the Ecole Polytechnique Fédérale de Lausanne (CH), as well as clinicians, psychologists and psychiatrists from the Academic Hospital of Montpellier (CHRU, FR). This position is funded by European Union FP7 research project AlterEgo: Enhancing social interactions using information technology. The objective of AlterEgo is the creation of an interactive cognitive architecture (ICA), implementable in various artificial agents, allowing a continuous interaction with socially deficient humans. The final aim of the proposal is to produce a new robotic-based clinical method able to enhance social interaction of patients suffering from social disorders.
You will have an excellent background in mathematics, physics and/or engineering, and should be committed to applying their research to make real artificial agents' systems interacting with people in challenging circumstances. You are expected to produce reliable mathematical models and numerical algorithms that i) allow real-time adaptation of the coupled human-artificial agent dynamics and ii) integrate all parts of the interactive cognitive architecture together. The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.
Applicants will possess a relevant PhD and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes, including mathematical modelling and numerical bifurcation analysis.
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