Subject: 2 post-doctoral positions in music structure research (London, UK) From: Michael Casey <casey(at)SOI.CITY.AC.UK> Date: Thu, 18 Mar 2004 09:46:52 +0000Dear Auditory list members, the following post-doctoral positions may be suitable for recent PhD's with a background in auditory research. (Closing March 22nd). Best regards, Dr. Michael Casey, Lecturer Centre for Computational Creativity City University, London http://ccc.soi.city.ac.uk +44 (0)20 7040 8380 Job Title: Post-Doctoral Research Assistant for SeMMA project Tenure: Fixed term for three years Responsible to: Prof. Mark Sandler (Queen Mary College University of London) and Dr Michael Casey (City University London) Project Overview: The 3 year Engineering and Physical Sciences Research Council (EPSRC) project Hierarchical Segmentation and Semantic Markup of Musical Signals is a collaboration between the Centre for Digital Music at Queen Mary University of London and the Centre for Computational Creativity at City University. It is concerned with the extraction and exploitation of musically relevant semantic features direct from musical content. Each partner will employ one post-doctoral researcher. It is expected that both researchers will spend some time in each other's laboratory, which are only about 2 miles apart in Central London. Main Duties: The aim of this research programme is to develop new signal processing algorithms that perform meaningful segmentations of musical signals. The specific objectives are to: develop new machine learning techniques to automatically produce a hierarchical segmentation directly from an audio recording evaluate the methods and algorithms using a test corpus consisting of a range of different musical styles and recording qualities develop a framework to construct two applications (information retrieval & intelligent editing) and evaluate the performance and opportunities The post-docs will engage in research to fulfil the requirements of the grant. They must have expertise in some of the following research areas: DSP for Music and Audio. Statistical (Bayesian) Modelling and Statistical Mechanics Low level audio feature extraction (e.g. MFCC) Databases and Music Information Retreival MPEG7, XML, C++, Java, Matlab They will be required to co-operate with and to communicate with members of the research team at the other partner, and be required to attend regular project meetings. The post-docs will be required to write and to edit contributions to project documents, including learned papers for journals and conferences. Additionally the post-doc will be offered the opportunity to lecture on Masters level courses as part of career development. Deadline for applicatoin: 5PM GMT 22nd March '04 For details of how to apply see http://www.city.ac.uk/hr/jobs/04046/dp.htm