Classical music is one of the greatest treasures of Europe’s cultural heritage. Although a historical genre, it is continually (re)interpreted and revitalised through musical performance. Today, most of the classical repertoire is in the public domain; massive numbers of scores and recordings are now available in online community-contributed repositories actively used by scholars and musicians. Technology offers ways to enrich and contextualise this repertoire, so that users might better understand and appreciate it. However, due to varying data quality and scale, this does not happen automatically for public-domain resources. Amidst a deluge of data, relevant associations across repositories and modalities (e.g. from scores to recordings) still have to be made manually, while insights by previous users are not explicitly stored for future users to learn from. It is thus impossible to get comprehensive insight into the full wealth of our musical cultural heritage.
TROMPA aims at changing this by massively enriching and democratising our publicly available musical heritage through a user-centred co-creation setup. For analysing and linking music data at scale, the project studies how to improve state-of-the-art music analysis technology with the help of music-loving citizens (including the large scene of amateur performers) that annotate the data according to their personal expertise, and provide feedback on algorithmic results, and annotating the data according to their personal expertise.
Within TROMPA, the two PhD candidates will study, design, and develop:
We are looking for two candidates who can meet the following requirements:
To apply, please email your application by March 9th and with subject [TROMPA PhD] to Dr. Alessandro Bozzon at a.bozzon@tudelft.nl
The application should consist of the following:
The candidate will be expected to begin PhD activities as early as May 1st 2018, but no later than August 1st 2018.
For more information, please contact Dr. Julián Urbano at j.urbano@tudelft.nl or Dr. Alessandro Bozzon at a.bozzon@tudelft.nl
The TU Delft offers an attractive, customisable compensation and benefits package, including a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children's Centre offers day care, before- and after-school care and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.
The positions are offered within the Multimedia Computing group and the Web Information Systems group, located at the TU Delft Faculty of Electrical Engineering, Mathematics and Computer Science. TU Delft is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. You will work in an environment where technical sciences and society converge.
The Multimedia Computing group Multimedia Computing group develops methods and algorithms that enable effective, efficient and intuitive access to large collections of heterogeneous, unstructured multimedia (multimodal, multisensory) data in real-world contexts. The developed solutions are oriented towards the needs of users and are realised using both the search and recommendation paradigms. The group combines expertise in multimedia information retrieval, recommender systems, multimedia signal analysis and processing, (social) network analysis, and evaluation. As PhD candidate, you will work with Dr. Julián Urbano, and join a group of PhDs and post-docs working on related topics.
The Web Information Systems group concentrates in its research on engineering and science of the Web. The section is an internationally leading research group in Web-based systems, with WIS researchers and students striving to advance the state of the art in relevant disciplines like Crowdsourcing and Human Computation, Web science, Information Retrieval, Data Science, and Web engineering. As PhD candidate, you will work in the SocialGlass team lead by Dr. Alessandro Bozzon, and join a group of PhDs and post-docs working on related topics.