Hello,
The RISE research-creation team is very excited to invite the Milieux,
LePARC and greater Concordia/Montreal community to the second research
critical-reflection session coming up this Wednesday May 12th at 10am.
The event will begin with a 15-minute viewing session followed by an
open discussion with RISE's creative and research crew about the opera
narrative and drama, cataclysms, collective fears, speculative
research-creation, scenario enactment, and more.
It is open to the public (with consent) and we would love to see you there!
What is RISE?
Reflective Iterative Scenario Enactments
Led by Dr. Eldad Tsabary and funded by Canada's Social Sciences and
Humanities Research Council (SSHRC), Reflective Iterative Scenario
Enactments (RISE) is a Le PARC based 5-year (2020-2025)
research-creation project designed to enact and investigate
cataclysmic scenarios in 10 mini-operas.
If you would like to know more about the RISE project, you can visit
https://riseopera.ca
Below is a video link to Personal Pandemic: A mini-opera-workshop,
which premiered February 24th 2021—the first RISE mini-opera (in
progress), which was followed by an open discussion. Created and
produced collaboratively under lockdown during recent months, Personal
Pandemic is an intimate mini-opera that enacts a personal
COVID-centric storyline in Montreal.
https://www.facebook.com/CU4thSpace/videos/4460142047336520/
If you are interested in attending/participating in the critical
reflection session this wednesday, please do get in touch at
info.riseopera@gmail.com and I will send over the consent form to look
over.
I look forward to seeing you there!
Best,
~Sheena Bernett
RISE Methodology RA
Wednesday, May 12, 2021
Fwd: OR online material for DCs - responsibility - creativity - optimization (@ IFORS)
Our materials is helpful -
OR Online Resources for Developing Countries --- regularly updated
The aim of the IFORS Developing Countries Online Resources page is to
offer the OR worker all publicly-available materials on the topic of
OR for Development. It also aims to provide a venue for people who are
working in the area to share their completed or in-process work, learn
from others, and stimulate comments and discussions on the work.
Regarding IFORS Developing Countries OR resources website, its regular
updates - and your possible submission of "free" (not copyright
protected) material, you might occasionally visit
http://ifors.org/developing_countries/index.php?title=Main_Page.
With this open resources page we aim to make research and application
results better accessible to the many friends in the Developing
Countries. We would be glad about interest.
Contributions from art and science, communication and education
sectors are warmly welcome by our community which has very little
access to emerging documents on arts and sciences, research, design
and development.
"Operational Research" (OR) is the discipline of applying advanced
analytical methods to help make better decisions. By using techniques
such as problem structuring methods and mathematical modelling to
analyze nontrivial situations, Operational Research gives executives
the power to make more effective decisions and build more productive
systems.
The International Federation of Operational Research Societies (IFORS;
http://ifors.org/) is an almost 60-year old organization which is
currently composed of 51 national societies. Regional Groups of IFORS
are: ALIO (The Latin American Ibero Association on Operations
Research), APORS (The Association of Asian-Pacific Operational
Research Societies), EURO (The Association of European Operational
Research Societies), NORAM (The Association of North American
Operations Research Societies). IFORS conferences are taking place
every three years. On IFORS 2021, Seoul, South Korea, August 22-27,
2021, please refer to http://www.ifors2020.kr/.
Thank you very much for your attention.
With kind regards,
best wishes
PS: Feedback is welcome via gerhard.weber@put.poznan.pl.
OR Online Resources for Developing Countries --- regularly updated
The aim of the IFORS Developing Countries Online Resources page is to
offer the OR worker all publicly-available materials on the topic of
OR for Development. It also aims to provide a venue for people who are
working in the area to share their completed or in-process work, learn
from others, and stimulate comments and discussions on the work.
Regarding IFORS Developing Countries OR resources website, its regular
updates - and your possible submission of "free" (not copyright
protected) material, you might occasionally visit
http://ifors.org/developing_countries/index.php?title=Main_Page.
With this open resources page we aim to make research and application
results better accessible to the many friends in the Developing
Countries. We would be glad about interest.
Contributions from art and science, communication and education
sectors are warmly welcome by our community which has very little
access to emerging documents on arts and sciences, research, design
and development.
"Operational Research" (OR) is the discipline of applying advanced
analytical methods to help make better decisions. By using techniques
such as problem structuring methods and mathematical modelling to
analyze nontrivial situations, Operational Research gives executives
the power to make more effective decisions and build more productive
systems.
The International Federation of Operational Research Societies (IFORS;
http://ifors.org/) is an almost 60-year old organization which is
currently composed of 51 national societies. Regional Groups of IFORS
are: ALIO (The Latin American Ibero Association on Operations
Research), APORS (The Association of Asian-Pacific Operational
Research Societies), EURO (The Association of European Operational
Research Societies), NORAM (The Association of North American
Operations Research Societies). IFORS conferences are taking place
every three years. On IFORS 2021, Seoul, South Korea, August 22-27,
2021, please refer to http://www.ifors2020.kr/.
Thank you very much for your attention.
With kind regards,
best wishes
PS: Feedback is welcome via gerhard.weber@put.poznan.pl.
Fwd: [DMRN-LIST] Vacancy: Research Fellow on Machine Learning for Audio Captioning @ University of Surrey, UK
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 in the area of machine
learning and acoustic signal processing.
The post is funded by British Council under Newton Institutional Links
Award, under a project titled "Automated Captioning of Image and Audio
for Visually and Hearing Impaired", which is a joint 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.
The focus at Surrey will be to develop machine learning and signal
processing algorithms for information extraction from audio data,
recognize audio classes (i.e. tags and labels), and generate text
description of audio content. This work is built on the recent
contributions of CVSSP in the area of acoustic scene analysis, audio
event detection, environmental sound recognition, and audio tagging,
together with some latest results on audio captioning. The algorithms
developed will be integrated by the partner university IKCU into a
smartphone app to prototype and demonstrate the concept.
The post-holder is expected to have a PhD degree (or equivalent) in
the area of machine learning, acoustic signal processing, audio
engineering, or a related area in electronic engineering, applied
mathematics, computer science, artificial intelligence, and
statistics. The post-holder is expected to have good analytical
skills, and programming skills in Python, Matlab or C/C++. Preference
will be given to those who have experience on audio classification,
audio tagging, audio captioning, or cross modal translations (such as,
audio<->texts, image<->texts, or audio<->video), but candidates who
have experience in machine learning and audio are welcome to apply.
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.
This post is available to start immediately, or as soon as possible.
To apply online, please visit the following page:
https://jobs.surrey.ac.uk/vacancy.aspx?ref=015821-R
Many thanks.
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/
months within the Centre for Vision Speech and Signal Processing
(CVSSP), University of Surrey, UK, to work in the area of machine
learning and acoustic signal processing.
The post is funded by British Council under Newton Institutional Links
Award, under a project titled "Automated Captioning of Image and Audio
for Visually and Hearing Impaired", which is a joint 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.
The focus at Surrey will be to develop machine learning and signal
processing algorithms for information extraction from audio data,
recognize audio classes (i.e. tags and labels), and generate text
description of audio content. This work is built on the recent
contributions of CVSSP in the area of acoustic scene analysis, audio
event detection, environmental sound recognition, and audio tagging,
together with some latest results on audio captioning. The algorithms
developed will be integrated by the partner university IKCU into a
smartphone app to prototype and demonstrate the concept.
The post-holder is expected to have a PhD degree (or equivalent) in
the area of machine learning, acoustic signal processing, audio
engineering, or a related area in electronic engineering, applied
mathematics, computer science, artificial intelligence, and
statistics. The post-holder is expected to have good analytical
skills, and programming skills in Python, Matlab or C/C++. Preference
will be given to those who have experience on audio classification,
audio tagging, audio captioning, or cross modal translations (such as,
audio<->texts, image<->texts, or audio<->video), but candidates who
have experience in machine learning and audio are welcome to apply.
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.
This post is available to start immediately, or as soon as possible.
To apply online, please visit the following page:
https://jobs.surrey.ac.uk/vacancy.aspx?ref=015821-R
Many thanks.
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/
Monday, May 10, 2021
Research in Teacher Education (RiTE) 10th Anniversary Event
On 16 June from 5pm-7:30pm, the Research in Teacher Education (RiTE) 10th Anniversary event will be taking place.
We invite you to join us in celebrating our 10th anniversary of UEL's journal, Research in Teacher Education.
The event will feature many of the guest writers who have contributed to the journal, including Meg Maguire, Stephen Ball, Louise Archer, Graham Welch, Ian Menter, Pat Sikes, Kari Smith, Martin Fautley, Ann MacPhail and Jean Murray. On the night, we will launch a bumper edition of RiTE in which we include all 20 Guest Articles published over the last ten years with each author adding an updated 'post-script' critically reflecting on their original articles. Come join us on 16 June at 5.00pm and pose questions to some of the biggest national and international names in teacher education. You can access the journal here.
Registration Link:
We invite you to join us in celebrating our 10th anniversary of UEL's journal, Research in Teacher Education.
The event will feature many of the guest writers who have contributed to the journal, including Meg Maguire, Stephen Ball, Louise Archer, Graham Welch, Ian Menter, Pat Sikes, Kari Smith, Martin Fautley, Ann MacPhail and Jean Murray. On the night, we will launch a bumper edition of RiTE in which we include all 20 Guest Articles published over the last ten years with each author adding an updated 'post-script' critically reflecting on their original articles. Come join us on 16 June at 5.00pm and pose questions to some of the biggest national and international names in teacher education. You can access the journal here.
Registration Link:
Monday, May 3, 2021
Fwd: New PhD studentship opportunity
· Applications are now open for the 2021-22 AHRC-funded Collaborative PhD studentship 'Sounds and Silences in the Archives of Empire'. The studentship will embed a composer at The National Archives to explore the records of Empire through the creation and public dissemination of a portfolio of new music and multimedia works, aiming to recontextualise collections. Working with Colonial Office (CO) material, the student will reinterpret and challenge the official records of the British Empire in three principal ways:
·
· i) Using Machine Learning to uncover core themes and biases,
ii) Sonification of data and generation of new texts to inform original musical compositions,
iii) Engagement within communities impacted by this research, whose voices are often absent in the official record.
·
· It is co-supervised by Dr Sam Salem (PRiSM Lecturer in Composition, Royal Northern College of Music) Christopher Day (Head of Modern Domestic Records, The National Archives) Professor Emily Howard (Professor of Composition and Director of PRiSM, Royal Northern College of Music) and Dr Juliette Desplat (Head of Modern Collections, The National Archives).
This fully-funded studentship offers a unique and exciting opportunity to focus on diverse histories and records while completing a flexible project which can be shaped by the student's own interests and experiences.
We want to encourage the widest range of potential students to apply for our CDP studentships and are committed to welcoming students from different backgrounds to apply. We particularly welcome applications from people from Black, Asian and Minority Ethnic backgrounds as they are currently underrepresented at this level in this area.
Hear about our other studentships by following us on Twitter.
Thursday, April 15, 2021
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
----------------------------------------------
Juan Pablo Martinez Avila
PhD Student
Mixed Reality Lab
School of Computer Science
University of Nottingham
Nottingham, UK
Wednesday, April 14, 2021
Lockdown Lights: Discovering the Potential of Your Voice
|
Saturday, April 10, 2021
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/
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/
Thursday, April 1, 2021
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
- 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
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