Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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...


Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  



AISB opportunities Bulletin Item

Post-Doctoral Research Fellow in Artificial Intelligence and Music


Post-Doctoral Research Fellow in Artificial Intelligence and Music

University of Plymouth,
Interdisciplinary Centre for Computer Music Research
Post-Doctoral Research Fellow in Artificial Intelligence and Music
Applications are invited for a 3-year (36 months) Research Fellow post in the Faculty of Technology at the University of Plymouth, UK, commencing on 01 July 2007 (provisional date; negotiable). 
The project is aimed at the development of models and tools for the application of probabilistic machine learning techniques to the analysis of music and brain imaging data on music cognition. The underlying theme of the project is the learning of patterns linking different data arising simultaneously from the same piece of music. The project will advance our understanding of the relationship between musical structure, performance and experience.
The main task for this post is to develop a system for musical composition based on predictions informed by the EEG and fMRI (using the new machine learning tools developed by the team working in the project). Candidates for this post are expected to have a background linking Artificial Intelligence and Music, especially in the fields combining machine learning and computer-aided or algorithmic composition. Candidates should demonstrate solid experience (technical and theoretical) in development and implementation of AI-based algorithmic composition systems, including real-time interactive music systems.
For more information on computer music research at the University of Plymouth please refer to the website: 

The website of the project is available here:

For further particulars and an application form: