Job: Research Assistant for EU project eCUTE – Education in Cultural Understanding, Technologically-Enhanced
Published: Tue, 06/15/10
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| Presence News from ISPR | |
| Job: Research Assistant for EU project eCUTE – Education in Cultural Understanding, Technologically-Enhanced | |
| June 15, 2010 Research Assistant for EU project eCUTE – Education in Cultural Understanding, Technologically-Enhanced MACS, Heriot-Watt University, Edinburgh, Scotland, UK x 2 Research Associates, starting 1 Sept 2010 DEADLINE: Jul 26th eCUTE is a project funded by the EU under the FP7 challenge in Technologically-Enhanced Learning. It will develop innovative technologically-enhanced learning approaches in cultural awareness and understanding, based on virtual world simulations with intelligent interactive graphical characters embodying models of culturally-specific behaviour and interaction in scenarios developed via a user-centred design process. It will target two contrasting learner types: late primary-age children (9-11) and young adults (18-25), and is due to start in Sept 2010 for 36 months. It has 7 partners – Heriot-Watt, Sunderland University, INESC-ID Lisbon, Augsburg University, Jacobs university, Seikei University and Kyoto University. The project will:
Required: RA1: Required: Experience of EU FP7 project administration; understanding of the research environment, excellent skills with spreadsheet, WP and presentation software, ability to work in a team, deputise for the project coordinator in administrative matters, and to liaise both with the EU project officer and with researchers at partner sites. Research track-record in computational models of cultural behaviour and intelligent agent architectures. The post holder must be willing to travel as the job requires. Prior publication in this field is desirable. RA2: Experience of research publication and skills in graphical modelling and animation are desirable. Computer Science at Heriot-Watt is a strong research based division of the School of Mathematical and Computer Sciences, with 60% of its research outputs graded as world-leading or internationally-excellent in the UK 2008 Research Assessment Exercise. It has active research groups in dependable systems; intelligent systems; vision, interactive systems and graphics environments; and logic. For further information contact Prof Ruth Aylett, [email protected], http://www.macs.hw.ac.uk/~ruth/, +44 (0)131-451-4189 HOW TO APPLY: | |
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