Fwd: [DMRN-LIST] NIME 2021 registration scholarships sponsored by Ableton

* With apologies for cross-posting *

Hi all,

On behalf of Laurel Pardue it is my pleasure to announce that Ableton are proud to sponsor a number of student and regular registrations for NIME 2021 in collaboration with the NIME diversity committee. The NIME diversity committee's mission is to help broaden the NIME community and improve inclusivity and respect especially towards under-represented groups, be that in regards to gender, ethnicity, disability, area of study, or financial ability. If you feel you could benefit from a scholarship to cover your registration, please apply. As places are limited, please do not apply if you are able to get funding through your affiliate institution.

To be eligible you must complete the application form: https://www.smartsurvey.co.uk/s/T1AKEH/

The application is short and simple, requesting some personal data and asking you to justify in 250 words or less why you are applying for funding and why we should fund you. The first round of applications will close by 19th April (GMT midnight) in order for the diversity committee to award scholarships prior to the April 24th early bird registration deadline. We apologise for the short notice. If not all registration scholarships are claimed, we will hold further rounds until all scholarships have been claimed.

Preference will be given to those who have a submission accepted to NIME 2021 but all are welcome to apply. Please feel free to forward this e-mail to interested parties.

Thanks,

Laurel, Juan and Anna (WiNIME)

NIME Diversity Committee Officers

http://diversity.nime.org/

----------------------------------------------

Juan Pablo Martinez Avila

PhD Student

Mixed Reality Lab

School of Computer Science

University of Nottingham

Nottingham, UK 

Check out my publications here!

Lockdown Lights: Discovering the Potential of Your Voice

 

Discovering the Potential of your Voice     Virtual event Wednesday 21 April 2021 17:30 - 18:45, Free   We'd like to invite you to the final event in our Lockdown Lights series, and this time we're focusing on the power of your own voice.   What is it about not always liking the sound of our own voice? How do we describe other people's voices? What's the difference between a singing voice and a speaking voice?    Delve into the fascinating world of sound and learn more about the power of the human voice with UCL researcher Dr Evangelos Himonides and composer Hannah Conway who will lead an interactive workshop exploring our very own instrument. Our resident DJ Richard DeDomenici will spin tracks to set the scene and compliment the activities.       Join us online     UCL Culture is home to a family of world-class museums, galleries and theatres. Our collections range from art and archaeology, through to sciences and zoology.   Follow us on Twitter and Instagram Explore UCL Culture from home

Fwd: [DMRN-LIST] Research Fellow post in Machine Learning for Audio Captioning at University of Surrey, UK (deadline extended to: 15th April 2021)

Research Fellow in Machine Learning for Audio Captioning 

 

Applications are invited for a Research Fellow (RF) position for 22 months within the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on a project titled "Automated Captioning of Image and Audio for Visually and Hearing Impaired", which is a collaborative project between the University of Surrey and the Izmir Katip Celebi University (IKCU), Turkey, with project partners from charities and industrial sectors working with the hearing and visually impaired. This project aims to address fundamental challenges in audio and image captioning, develop new algorithms to improve performance of audio and image captioning algorithms, and application tools that could be used by the hearing and visually impaired to access audio and image content.  

 

The work at Surrey will focus on new methods and algorithms of automated audio captioning and natural language description of audio. This work is built on the significant contributions of CVSSP in the area of acoustic scene analysis, audio event detection, environmental sound recognition, and audio tagging, together with preliminary results on audio captioning. This new project offers an opportunity to take this work to the next stages, and demonstrate the benefit of such technologies for the hearing and visually impaired. A smartphone based prototype will be developed for audio and visual captioning jointly by Surrey and IKCU. New data will also be gathered, including audio-visual data for captioning, and user feedback for the prototype system.  

 

The postholder will be responsible for investigating and developing audio signal processing, machine learning algorithms for natural language description of sound, and implementing software for prototyping the concept and algorithms. The postholder should have a doctoral level (or equivalent) research and development experience in electronic engineering, applied mathematics, computer science, artificial intelligence, machine learning, natural language processing, or related subjects. The postholder should ideally have experience in one of the following areas: audio captioning, machine description of audio, audio classification, audio tagging, image captioning, video captioning, translations between audio/image and texts, and/or translation between audio and video. 

 

The post-holder will be based in CVSSP, and work under the direction of the Principal Investigator Prof Wenwu Wang, with co-supervision by Prof Sabine Braun, Director of the Centre for Translation Studies, at University of Surrey, and in collaboration with Dr Volkan Kilic, from the IKCU, Turkey. 

 
CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with over 150 researchers, a grant portfolio of £24M (£17.5M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, and a turnover of £7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs and >1PB of high-speed secure storage. 

 

For informal inquiries, please contact Prof Wenwu Wang (Email: w.wang@surrey.ac.uk; Web: http://personal.ee.surrey.ac.uk/Personal/W.Wang/). 

 

Please apply online using the following link:  

https://jobs.surrey.ac.uk/vacancy.aspx?ref=015821 

Best wishes,
 
Wenwu
 
 
 
--
Professor Wenwu Wang
Centre for Vision Speech and Signal Processing
Department of Electronic Engineering
University of Surrey
Guildford GU2 7XH
United Kingdom
Phone: +44 (0) 1483 686039
Fax: +44 (0) 1483 686031
Email: w.wang@surrey.ac.uk
http://personal.ee.surrey.ac.uk/Personal/W.Wang/

Fwd: Four research posts available at CVSSP, University of Surrey, UK

Apologies for cross-posting.  

 

Attached below is an advertisement for four research posts available at CVSSP, Surrey, in the area of audio-visual AI.  Please feel free to share with those who might be interested. Many thanks. 

Best wishes, 

Wenwu   

 

 

Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey 

Four research posts available in Audio-Visual AI, Computer Vision and Audio:  

Research Fellow B https://jobs.surrey.ac.uk/Vacancy.aspx?ref=015321 

Research Fellow A https://jobs.surrey.ac.uk/vacancy.aspx?ref=015121 

2x Research Software Engineer/Research Assistant https://jobs.surrey.ac.uk/vacancy.aspx?ref=015621 

  

Exciting opportunity for outstanding researchers in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences. 

The goal of the research partnership is to realise future personalised content creation and delivery at scale for the public at home or on the move. CVSSP research will address the key challenges for personalised content creation and rendering by advancing computer vision and audio-visual AI to transform captured 2D video to object-based media. Research will advance automatic online understanding, reconstruction and neural rendering of complex dynamic real-world scenes and events. This will enable a new generation of personalised media content which adapts to user requirements and interests. The new partnership with the BBC and creative industry partners will position the UK to lead future personalised media experiences. 

The Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is ranked first in the UK for computer vision. The centre leads ground-breaking research in audio-visual AI and machine perception for the benefit of people and society through technological innovations in healthcare, security, entertainment, robotics and communications. Over the past two decades CVSSP has pioneered advances in 3D and 4D computer vision, spatial audio and audio-visual AI which have enabled award winning technologies for content production in TV, film, games and immersive entertainment. 

BBC R&D (bbc.co.uk/rd) has a worldwide reputation for developments in media technology going back over 90 years and has worked closely with CVSSP for over 20 years. It has pioneered the development of object-based media, working closely with programme-makers and technology teams across the BBC. Recent work has included object-based audio delivery across multiple synchronised devices for sports and drama, and AI for recognising wildlife for natural history. 

This is an opportunity for outstanding researchers to join a world-renowned research centre at the start of a major new five-year research partnership.  

Research Fellow B 

The Research Fellow B will be an experienced researcher with an excellent track-record of publication in leading academic forums and post-doctoral research leadership. The successful candidate will take an active role in leading the research programme, contributing novel machine learning approaches to real-world dynamic scene understanding and reconstruction from video, and co-supervision of post-doctoral and PhD researchers. 

Research Fellow A 

The Research Fellow A will hold a PhD in computer vision, audio and/or audio-visual AI with a track-record of publication in leading academic forums. The successful candidate will contribute novel machine learning approaches advancing audio-visual AI to transform video of real-world scenes to object-based representation and neural rendering. The post-holder will collaborate with the team and project partners to realise personalised media experiences. 

2x Research Software Engineer/Research Assistant  

The Research Software Engineer/Research Assistant will have experience of research and software development in computer vision, audio and machine learning.  The post holder will support the research programme, contributing to research and technologies which enable the transformation of video to audio-visual objects, production of personalised media experiences and object-based audio-visual rendering. 

All posts are at the core of a research team working together with the BBC, University and industry partners to realise personalised object-based media experiences at scale for offline content and live events.  These posts will enable individuals to advance knowledge in computer vision, audio and machine learning and raise their own academic and research profile by joining Europe's largest research centre in this field. All posts will initially be offered for a fixed term which is extendable for the 5 year duration of the partnership. 

 

 

 
 
--
Professor Wenwu Wang
Centre for Vision Speech and Signal Processing
Department of Electronic Engineering
University of Surrey
Guildford GU2 7XH
United Kingdom
Phone: +44 (0) 1483 686039
Fax: +44 (0) 1483 686031
Email: w.wang@surrey.ac.uk
http://personal.ee.surrey.ac.uk/Personal/W.Wang/ 

 

Fwd: PhD studentships in Artificial Intelligence and Music (AIM) at Queen Mary University of London

UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM), Queen Mary University of London

https://www.aim.qmul.ac.uk/

• Fully-funded PhD studentships to start in September 2021
• Cover fees and a stipend for four years
• Call open to UK resident applicants
• Application deadline: 19 April 2021

Why apply to the AIM Programme?

• 4-year fully-funded PhD studentships available
• Extensive choice of projects, drawing on a supervisory team of over 30 academics
• Access to cutting-edge facilities and expertise in artificial intelligence (AI) and music/audio technology
• Comprehensive technical training at the intersection of AI and music through a personalized programme
• Partnerships with over 25 companies and cultural institutions in the music, audio and creative sectors

More information on the AIM Programme can be found at: https://www.aim.qmul.ac.uk/

Programme structure

Our Centre for Doctoral Training (CDT) offers a four year training programme where students will carry out a research project in the intersection of AI and music, supported by taught specialist modules, industrial placements, and skills training. Find out more about the programme structure at: http://www.aim.qmul.ac.uk/about/ 

Who can apply?

We are on the lookout for outstanding students interested in the intersection of music/audio technology and AI. Successful applicants will have the following profile:

• Hold or be completing a Masters degree at distinction or first class level, or equivalent, in Computer Science, Electronic Engineering, Music/Audio Technology, Physics, Mathematics, Music or Psychology. In exceptional circumstances we accept applicants with a first class Bachelors degree who do not hold a Masters degree, provided that applicants can provide evidence of equivalent research experience, industry experience, or specialist training.
• Programming skills are strongly desirable; however we do not consider this to be an essential criterion if candidates have complementary strengths.
• Musical training (any of performance, production, composition or theory) is desirable but not a prerequisite.

For this call we are accepting applications from UK resident applicants. Candidates must meet one of the following criteria:

• Be a UK National (meeting residency requirements), or
• Have settled status in the UK, or
• Have pre-settled status in the UK (meeting residency requirements), or
• Have indefinite leave to remain or enter the UK.

Eligibility guidelines are included in full at https://www.aim.qmul.ac.uk/apply/ . Queen Mary's commitment to our diverse and inclusive community is embedded in our student admissions processes. We particularly welcome applications from women and under-represented groups, and from applicants in all stages of life. 

Funding

For this call we offer a number of fully-funded 4-year PhD studentships available for students starting in September 2021 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£17,609 in 2021/22). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events.

Apply Now

Information on applications and PhD topics can be found at: http://www.aim.qmul.ac.uk/apply

Application deadline: 19 April 2021

For further information on eligibility, funding and the application process please visit our website. Please email any questions to aim-enquiries@qmul.ac.uk

— 

Dr. George Fazekas, 

Senior Lecturer in Digital Media 

Programme Coordinator, Sound and Music Computing (SMC)

Centre for Digital Music (C4DM)

School of Electronic Engineering and Computer Science

Queen Mary University of London, UK

FHEA, M. IEEE, ACM, AES

email: g.fazekas@qmul.ac.uk

web: c4dm.eecs.qmul.ac.uk | semanticaudio.net | audiocommons.org | bit.ly/smc-qmul | aim.qmul.ac.uk