Harold Cohen

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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


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A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


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On Friday 4th September, philosopher and AISB member Dr Yasemin J Erden, participated in an AI roundtable at Second Home, hosted by Index Ventures and SwiftKey.   Joining her on the panel were colleagues from academia and indu...


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AISB Convention 2016

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2016 Convention will be held at the Uni...


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Bishop and AI news

Stephen Hawking thinks computers may surpass human intelligence and take over the world. This view is based on the ideology that all aspects of human mentality will eventually be realised by a program running on a suitable compu...


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All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


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Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

Job advert: Research fellow/assistant in Robot Learning

http://adapsys.feis.herts.ac.uk/

Adaptive Systems Research Group
http://adapsys.feis.herts.ac.uk/

University of Hertfordshire, UK (www.herts.ac.uk)

Research Assistant/Fellow in Robot Learning
Salary per annum: 20,226 - 27,999 GBP (depending on qualifications and experience)

A postgraduate/postdoctoral Research Assistant/Fellow post is available in the EU Framework VII funded project RoboSkin (Skin-Based Technologies and Capabilities for Safe, Autonomous and Interactive Robots). This full-time research post will allow the postholder to pursue research into robot learning and humanoid robotics as part of a European project. A postgraduate successful applicant will have the opportunity to pursue research towards a PhD.

The RoboSkin consortium consists of several European partners in Italy, UK and Switzerland. The UH team is involved in the development of skin-recognition algorithms for detecting interaction patterns in human-robot interaction games. The development of software for artificial skin on a humanoid robot as well as learning and adaptation algorithms, based on previous research expertise by the project team, forms a central part in the research. The postholder will also have the opportunity to get involved in applications of this research in robot assisted play in educational settings.

The postholder will be a member of the Adaptive Systems Research Group (http://adapsys.feis.herts.ac.uk/) at University of Hertfordshire in the School of Computer Science which includes 30 research staff members (postdocs and PhD students). The University of Hertfordshire ranks 27th in England for post-2008 RAE-funding in Computer Science and Informatics. The highly active and multidisciplinary research group has an excellent international research track record including research in human-robot interaction, social robotics and robot learning.

Applicants for the post should have a strong postgraduate degree (MSc or PhD) in Computer Science or a related area as well as a strong mathematical background. Applicants are expected to have strong qualifications and experience in robot learning, machine learning, or related areas, as well as excellent research experience in robot programming. Experience in human-robot interaction is desirable. Applicants are expected to work independently, but under guidance of and in close collaboration with other team members at UH and other project partner institutions.

The position is full-time. Work will be based at University of Hertfordshire and may include short stays at European partner institutions. The position is based on a fixed-term contract for up to 36 months. Starting date: 1 May 2009 (end date: 30th  April 2012).

All formal applications must be made via the Human Resources Department at University of Hertfordshire:
http://web-apps.herts.ac.uk/uhweb/apps/hr/research-vacancies.cfm

The above website will allow potential applications to find out  more information about the post, including a detailed job and person specification. Please consult this website in order to evaluate your suitability for the post.

For other informal inquiries related to the post please contact Prof. Kerstin Dautenhahn (K.Dautenhahn@herts.ac.uk).

Closing date: 28/04/2009