- From: Kevin Page <kevin.page@oerc.ox.ac.uk>
- Date: Wed, 25 Jun 2014 16:15:11 +0000
- To: "public-lod@w3.org" <public-lod@w3.org>
We have another opening for a Linked Data PDRA post; this one is towards the music technology end of the scale, researching semantic solutions throughout the digital music lifecycle from production to delivery and consumption. It’s a 2 year post in the first instance, in conjunction with some great partners, including the BBC. Applications close on 23rd July. In addition to applicants with existing skills in this area, we also welcome those with experience using Linked Data in other fields who are looking to apply their skills and knowledge to new disciplines. Postdoctoral Research Assistant - Linked Data and Music Oxford e-Research Centre, Oxford Vacancy ID : 113899 We are seeking a Research Associate working on the Semantic Web and Linked Data technologies for application in the domain of music consumption and production, specifically for the SLoBR and FAST projects. These projects share a common purpose in the development and application of Linked Data to all stages in the digital music lifecycle. SLoBR (Semantic Linking of BBC Radio: Programme Data and Early Music), a joint project with the Centre and Goldsmiths University of London and the BBC, will use linked data to combine musicological research data with programme information from the BBC early music show and external resources such as DBpedia. The project will focus on the use and consumption of this data, developing a web based User Interface (UI) for navigating related information in the context of Early Music Show content and generalising these approaches into tools for similar data reduction, visualisation and exploration problems in linked data., the project will involve liaison with musicology specialists at our partner institution and travel to the BBC in London for regular collaboration sessions. The EPSRC funded FAST (Fusing Semantic and Audio Technologies for Intelligent Music Production and Consumption) will pursue radical innovations amidst challenges driven by the practical needs of end-users throughout the music industry, with exciting proof-of-concept demonstrators that collectively form an intelligent music information infrastructure and include the application of state of the art signal processing and Semantic Web techniques. This is a fixed-term post for 2 years in the first instance. For full details see: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=113899
Received on Wednesday, 25 June 2014 16:24:56 UTC