Fwd: Call for papers, tutorials, panels and musical works

 

Apologies for cross posting.

The 2020 Joint Conference on AI Music Creativity

October 19-23, 2020 organized and hosted virtually by the Royal Institute of Technology (KTH), Stockholm, Sweden

The 2020 Joint Conference on AI Music Creativity brings together for the first time two overlapping research forums: The Computer Simulation of Music Creativity conference (est. 2016), and The International Workshop on Musical Metacreation (est. 2012). The principal goal is to bring together scholars and artists interested in the virtual emulation of musical creativity and its use for music creation, and to provide an interdisciplinary platform to promote, present and discuss their work in scientific and artistic contexts.

The 2020 Joint Conference on AI Music Creativity will consist of synchronous and asynchronous events. The five-day program will feature tutorials, research paper presentations, discussion panels, an online exhibition, invited spotlight presentations and two keynotes delivered by Professor Emeritus Dr. Johan Sundberg (Speech, Music and Hearing, KTH) and Dr. Alice Eldridge (Music, Sussex University, UK).

Find specific instructions, templates and deadlines at the official conference website:

https://boblsturm.github.io/aimusic2020

Organization committee
    Conference chair: Bob L. T. Sturm, Division of Speech, Music and Hearing, KTH
    Paper chair: Andy Elmsley, CTO Five Vectors
    Music chair: Mattias Sköld, Instutitionen för komposition, dirigering och musikteori, KMH
    Panel chair: Oded Ben-Tal, Department of Performing Arts, Kingston University, UK
    Tutorial chair: Iris Ren, Department of Information and Computing Sciences, Utrecht University
    Publicity chair: André Holzapfel, Division of Media Technology and Interaction Design, KTH
    Sound and music computing chair: Roberto Bresin, Division of Media Technology and Interaction Design, KTH

Steering committee
    Robert Keller, Harvey Mudd College, USA
    Philippe Pasquier, Simon Fraser University, Canada
    Robin Laney, The Open University, UK
    Anna Jordanous, University of Kent, UK
    Roisin Loughran, Dundalk Institute of Technology, Ireland
    Steven Jan, University of Huddersfield, UK

Fwd: [DMRN-LIST] C4DM Research Assistant position

Hi all,

Here's a new Research Assistant position with the Centre for Digital Music at Queen Mary University of London, in the general area of music informatics and music signal processing, https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=5201 . Please forward it to others who might be interested.

 

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Research Assistant - QMUL22165

Department: School of Electronic Engineering & Computer Science

Salary: £31,613 per annum (pro rata) (Grade 4)

Reference: QMUL22165

Location: Mile End

Date posted: 01-May-2020

Closing date: 31-May-2020

 

Apply Online

 

Overview:

Applications are invited for a Research Assistant position on music information retrieval and music signal processing, with a particular focus on knowledge and implementation of the existing state of the art, and real world applications. The responsibilities also include engaging with industry, disseminating results and working in a team of researchers.

 

The role is concerned with developing new music informatics models, taking existing models and improving them, assessing performance and usability, and demonstrating results, ideally for use in a service. A focus of the work involves establishing measures of how well individual musical elements within a composition will match each other. Core elements of the work are: adapt and improve existing music informatics methods; develop, test or demonstrate new music informatics methods; assess performance and quality objectively and subjectively; and produce demonstrators and demonstrate results to a wide audience. For this, knowledge of and experience with musical signal processing, including audio programming, and related fields, is required.

 

The ideal candidate will have an Undergraduate Degree in Computer Science, Electric/Electronic Engineering or a related topic. Good programming experience and working knowledge of audio signal analysis and processing is desirable, plus experience in one or more of the following areas: music information retrieval, high tech entrepreneurship, signal processing, audio engineering, evaluation or human-computer interaction is essential.

 

The post is part time fixed term contract for 21 hours per week (0.6fte) and is available immediately until 30 April 21. Starting salary will be £31,613 (pro rata), inclusive of London Allowance. Benefits include 30 days annual leave (pro rata) and pension scheme.

 

At Queen Mary University of London, we are committed to the equality of opportunities and to advancing the careers of all staff. We have policies to support staff returning from long-term absence and flexible arrangements for staff to who wish to change their work patterns. We also welcome applications from women in all stages of life, including pregnancy and maternity leave, and we will consider requests for this post to be a job share (please indicate this clearly on your application form).  We strongly encourage applications from women who are underrepresented in our Research Groups.

 

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

 

Informal enquiries should be addressed to Prof. Reiss at joshua.reiss@qmul.ac.uk or on +44 (0) 020 7882 7982.

 

Details about the School can be found at http://www.eecs.qmul.ac.uk, and details about the Centre for Digital Music at http://c4dm.eecs.qmul.ac.uk.

 

To apply, please click the link below.

 

Candidates are kindly requested to upload documents totaling no more than 10 pages.

 

Please note large documents, e.g., PhD thesis/Research papers, are not forwarded to the interview panel.

 

The closing date for applications is 31 May 2020. Interviews are expected to be held shortly thereafter.

 

Valuing Diversity & Committed to Equality

 

QMUL is proud to be a London Living Wage Employer

Fwd: [DMRN-LIST] Research Associate in Spatial Audio - AudioLab, York

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Research Associate in Spatial Audio, 

AudioLab, Department of Electronic Engineering, University of York

A post-doctoral research position is available to work with the immersive audio team at the AudioLab, Department of Electronic Engineering, University of York. The successful candidate will work with a dynamic team on spatial audio algorithms for next generation immersive audio systems. The Research Associate will be responsible for developing new audio algorithms, immersive audio demonstrations and listening tests as well as producing high quality research outputs in international journals, conferences and symposia. The associate will also contribute to international consortia meetings on the development of next generation audio codecs. The position is for 1 year with potential extension to 3 years.

Role
The main purpose of this role is to develop new immersive audio technologies in collaboration with a major industry partner to the lab. The successful candidate will be expected to have strong knowledge of immersive and interactive audio. Experience with binaural systems and Ambisonics is of particular importance to this position. Duties include:
Design, develop and debug novel spatial audio algorithms for immersive audio applications

• Liase with industry partners on algorithm implementation
• Travel to international meetings to discuss algorithm development and standardisation
• Develop spatial audio project demonstrators in collaboration with other team members
• Design and implement listening tests to support the algorithm development
• Publish research findings in high impact journals
• Present research at international conferences and symposia
• Write and submit grant proposals

Some out of hours work may be required to meet project deadlines and travel requirements.

Skills, Experience & Qualification needed

• PhD in spatial audio essential
• Experience developing novel spatial audio algorithms
• A background in Ambisonic and binaural audio
• Strong programming skills
• Experience in creating experimental prototypes such as measurement systems or spatial audio testing facilities.
• Experience with interactive audio systems, such as virtual and augmented reality headsets, head-trackers, Unity 3D and other VR and AR technologies is desirable
• Experience with listening test design, implementation and analysis
• Experience presenting research findings at international conferences and symposia
• A track record in publishing academic articles in international journals, conferences and symposia.
• Ability to work independently and as part of a dynamic team.
• Ability to travel essential

Interview date: To be confirmed
For informal enquiries: please contact Dr. Gavin Kearney, gavin.kearney@york.ac.uk  

Closing date: 31st May 2020

See the link below for more details:
https://jobs.york.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3885&p_web_page_id=418405

"The University is committed to promoting a diverse and inclusive community – a place where we can all be ourselves and succeed on merit. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. #EqualityatYork".

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Dr. Gavin Kearney
Associate Professor in Audio and Music Technology
Department of Electronic Engineering
University of York