Fwd: Call for participation, online symposium: "Music cognition in theory and practice"

Dear colleagues (with apologies for cross posting),

Please find below a call for participation to a 3-day symposium on music cognition, that we are holding online in February.

Please do share with anyone you think might be interested. Many thanks and best wishes,
Tudor Popescu, Andrea Schiavio, Felix Haiduk

 

Music cognition in theory and practice: Prediction, creativity, and cultural evolution

A 3-day symposium beamed from Vienna/Graz, to be held online, 23-25 February 2022.

Music is a cultural phenomenon fundamental to human life across the globe. Music is also deeply rooted in biological capacities, some of which we share with other species. The study of human cognition, within the brain and beyond, can help us link the cultural and the biological perspectives on music.

In this 3-day symposium, we propose a humanities-meet-science take on the psychology of music. Renowned scholars from both "sides" will discuss three themes at the core of our ability to engage with music: prediction, creativity, and cultural evolution. 

From morning to evening, each day will see: two keynote talks addressing the day's topic from different perspectives; an open "reconciliatory" roundtable discussion; a hands-on workshop demonstrating how participants can apply a topic-relevant method in their own research; and informal evening sessions focussed on "the dreams and fears of early-career researchers". 

Participation is free of charge. For more information, and to register: https://sites.google.com/view/EscopMusicCognition/

__________________________

Dr Tudor Popescu, DPhil (Oxon)

Department of Behavioural&Cognitive Biology, Univ. of Vienna (AT)

Centre for Mind/Brain Sciences, Univ. of Trento (IT)
cogbio.univie.ac.at/people/postdoctoral-researchers/tudor-popescu

tudorpopescu.com

Fwd: [DMRN-LIST] Environmental Context Podcast Listening Pilot Survey - Invitation to participate

Hello,

I am a PhD student based in the AudioLab at the University of York and working in collaboration with BBC R&D. My research focuses on the listener perception of context aware personalised audio experiences.

I am conducting a pilot survey investigating how podcast listening experiences are influenced by the environmental context in which they are consumed. The survey is especially concerned with how a listener's environmental context affects their active engagement with the listening experience. It is part of a wider suite of research that also aims to explore how environmental context affects an individual's listening experience across multiple forms of audio-based media.

In order to participate in this survey participants must have existing experience of listening to podcasts and/or on-demand radio using a smartphone and be aged 18 or over. The questionnaire consists of a series of multiple choice, ordinal scale & textual response questions and should take between 10 - 15 minutes to complete, depending on the extent of your listening experience. Participation in this pilot study is on a voluntary basis.

This questionnaire has been designed to adhere to the ethical codes and practices specified by the University of York. The personal data that is provided to this questionnaire by participants is anonymised and treated with the strictest confidentiality. Participants are free to withdraw their consent for participation in the study at any point.

I would be very grateful if you would consider participating in this study and/or advertising it to podcast listeners who may be interested in contributing.

Please see the following link to access the survey:

https://york.qualtrics.com/jfe/form/SV_0vz28fD6WBNXZt4

If you have any questions about the survey or would like to know more please contact jah671@york.ac.uk.

Kind regards,

Jay Harrison

--

https://www.jayharrisonaudio.co.uk/

Fwd: [DMRN-LIST] Postdoctoral research position in Spatial Audio at AudioLab, University of York

The AudioLab (https://audiolab.york.ac.uk) at the Department of Electronic Engineering, University of York is looking for a talented post-doctoral research associate to join the Enhancing Audio Description II project.

The position is of 2.5 years duration. The candidate is required to have strong background knowledge in spatial audio, listening test design and implementation and good coding skills. They will conduct a programme of research to fulfil deliverables on the Enhancing Audio Description II project, including development of production and post-production tools and conducting listening studies to evaluate project outputs. They will disseminate research at international conferences, symposia and consortium meetings as well as create articles for high impact journals. The project requires the candidate to be present at York to conduct experimental work, but desk research can be carried out remotely if needed.

Skills, Experience & Qualification needed
A first degree in Electronic Engineering, Computer Engineering, Music Technology or related discipline and a PhD in Spatial Audio or related field.
Strong knowledge of spatial audio and associated research techniques and methodologies, including binaural and object based audio.
Experience in listening test design, implementation and analysis.
An effective communicator with a track record of conference and journal publication.
A strong desire to work in the field of accessibility.

Application deadline: 23rd January 2022
Interview: 8th February 2022

See
https://jobs.york.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3885&p_web_page_id=469325

for further details. 

For informal enquiries: please contact Dr. Gavin Kearney at gavin.kearney@york.ac.uk or contact Dr. Mariana Lopez at mariana.lopez@york.ac.uk

--

Dr. Gavin Kearney
Associate Professor in Audio and Music Technology
Department of Electronic Engineering
University of York
Heslington
York
YO10 5DD
Tel: +44 (0) 1904 32 2374
Web: https://audiolab.york.ac.uk/

EMAIL DISCLAIMER http://www.york.ac.uk/docs/disclaimer/email.htm

Fwd: Conference Call PAM-IE Belgrade 2022

Dear colleagues and friends,

 

We are pleased to announce the second international conference Psychology and Music – Interdisciplinary Encounters (PAM-IE Belgrade 2022) which will be held from October 26–29, 2022 at the University of Arts in Belgrade. The main Conference organizer is the Faculty of Music, University of Arts in Belgrade and co-organizers are the Institute of Psychology, Faculty of Philosophy, University of Belgrade, Psychology of Music Section, Serbian Psychological Society, and Regional Network for Psychology and Music (RNPaM).

 

More about the conference, themes, and participation you may find at the conference website Psychology and Music – Interdisciplinary Encounters. 

 

We would appreciate it if you could forward this message to colleagues and students that might be interested in Conference participation.

 

Assistant Professor Dr. Sanela Nikolić

Faculty of Music, University of Arts in Belgrade

International Association for Aesthetic Delegate-at-Large

President of the PAM-IE Belgrade 2022 Organizing Committee

 

Professor Dr. Blanka Bogunović

Faculty of Music, University of Arts in Belgrade

President of the PAM-IE Belgrade 2022 Program Committee

ESCOM representative for Serbia

Fwd: Last call: Fully-funded Ph.D. student position in Interactive Music Systems using Machine Learning and AI at Chalmers in Sweden

Dear all,

We would like to remind that the deadline for this Ph.D. position is soon: 18 December, 2021.

We are excited to share our new Ph.D. student position in Interactive Music Systems using Machine Learning and AI at Chalmers University of Technology in Gothenburg, Sweden. The research focus is understanding interactivity in interdisciplinary musical practices. The selected candidate will take part in the development of novel interactive systems of machine learning and artificial intelligence for musical applications such as live performances, artwork installations and musical production. This position is fully-funded for five years, which is the full duration of the studies, covering 80% research and 20% teaching duties.

The position is hosted at the Interaction Design Unit (IxD) Computer Science and Engineering (CSE) Department The CSE department is now expanding the IxD division with a new research group in Interactive AI in Music. The current members of this new research group are Assistant Professor Kıvanç Tatar and Professor Palle Dahlstedt. The research perspective centers on aesthetics, ethics, and societal aspects of Artificial Intelligence. The creation of this new research group, as well as this Ph.D. position, is funded by the The Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS).

Please feel free to contact me (tatar@chalmers.se) or Palle Dahlstedt (palle@chalmers.se) if you have questions, and please do share the call to people who might be interested.

We are looking forward to receiving your applications. The full details of this position and the link to the application portal can be found at the official call page:

https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=9976&rmlang=UK

Thank you,

PS: Apologies for cross-posting.

--

Kıvanç Tatar, Ph.D., M.Mus., B.Sc.
 Musician|Artist|Researcher in Artificial Intelligence for Music and Interactive Arts
 +
Assistant Professor in Interactive AI
 Department of Computer Science and Engineering | Interaction Design Unit
 Chalmers University of Technology
 Gothenburg, Sweden
 +
WASP-HS Fellow
 The Wallenberg AI, Autonomous Systems and Software Program - Humanities and Society

https://kivanctatar.com/

Fwd: CIM22 Reminder – Final Call for Submissions (extended to 17 Jan 2022)

---------- Forwarded message ---------
From: Juan M. Loaiza <juan.loaizare@gmail.com>
Date: Fri, 10 Dec 2021 at 11:17
Subject: CIM22 Reminder – Final Call for Submissions (extended to 17 Jan 2022)
To: <MUSIC-AND-SCIENCE@jiscmail.ac.uk>

REMINDER - FINAL CALL FOR PAPERS (Deadline extended to 17 Jan 2022)
The next Conference on Interdisciplinary Musicology, CIM22: 'Participation' will take place on 8-10 June 2022, convened by the Reid School of Music, The University of Edinburgh and the Department of Music, University of Hong Kong.
Guided by the aims of the Society for Interdisciplinary Musicology (SIM), CIM22 offers a meeting point for music researchers at the crossroads of humanities and sciences.
Keynote speakers:
Kyra Gaunt (Music & Theatre, University at Albany State University of New York, NY)
Ruth Herbert (School of Arts, University of Kent, UK)
Frederick Lau (Department of Music, The Chinese University of Hong Kong, HK)
To foster interdisciplinary dialogue, Keynote plenary sessions include cross-disciplinary Respondents.
Our theme of Participation invites cross-disciplinary reflection and dialogue across a range of current topics in music research which will benefit from the joint attention of both science and humanities expertise, to report new research from scholars and practitioners at all career stages.
*Read the call for proposals in full: https://blogs.ed.ac.uk/cim22-participation/call-for-proposals*
The conference format includes both online and in-person (Edinburgh, UK) delivery. We encourage carbon-responsible conference participation, delegates may choose to present at a hub (Edinburgh), or to present remotely. 
We particularly welcome co-authored proposals to present original interdisciplinary work in the form of regular papers, roundtable discussions, or video flash-talks. Final submission deadline extended to Monday 17 January 2022.  Review outcomes late February 2022. Registration opens in March 2022.
We will continue to update the CIM22 conference website. *For more information and online proposal submission, visit: https://blogs.ed.ac.uk/cim22-participation*
Contact email: ParticipationCIM22@gmail.com
Conference co-Chairs: Dr Nikki Moran, University of Edinburgh, UK | Vice-President SIM (Society for Interdisciplinary Musicology) & Dr Youn Kim, Hong Kong University, HK
Committee includes:
Dr Juan Loaiza - Conference assistance (Edinburgh)
Dr Andrea Schiavio, Karl-Franzens-Universität Graz, Austria (SIM)
Dr Maiko Kawabata, Royal College of Music, London, UK
Dr James Cook, University of Edinburgh, UK
Dr Morag Grant, University of Edinburgh, UK
Prof. Raymond MacDonald, University of Edinburgh, UK
Dr Katie Overy, University of Edinburgh, UK
Daniel KL Chua (The University of Hong Kong)
Suk Won Yi (Seoul National University)
Kyung Myun Lee (Korea Advanced Institute of Science and Technology)
Theresa Schallmoser, Karl-Franzens-Universität Graz, Austria (SIM)
Prof. Richard Parncutt, Karl-Franzens-Universität Graz, Austria (Founder, SIM)

Fwd: [DMRN-LIST] Research Fellow/Senior Research Fellow post at CVSSP, Surrey, UK (application deadline 17th Dec 2021)

Research Fellow/Senior Research Fellow in Computer Vision, Spatial Audio and Audio-Visual AI

Vision, Speech & Signal Processing

Location:	Guildford
Salary:	£33,309 to £50,296 per annum
	Fixed Term
Post Type:	Full Time
Closing Date:	23.59 hours GMT on Friday 17 December 2021
Reference:	073621

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

This is an exciting opportunity for an outstanding researcher in Computer Vision, Audio and/or 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, audio analysis 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 and recognised worldwide for pioneering new technologies in audio and 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 and spatial audio 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.

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.

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.

The post is 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 contract for up 3 years which is extendable for the 5-year duration of the partnership.

The University of Surrey is a global university with a world-class research profile and an enterprising spirit, located in one of the safest counties in England, within 35 minutes of London by train and minutes away from the Surrey Hills, an Area of Outstanding Natural Beauty. Recent investments have seen the opening of a world-class Sports Park and important updates to central facilities.

We can offer a generous renumeration package, which includes relocation assistance where appropriate, an attractive research environment, the latest teaching facilities and access to a variety of staff development opportunities.

How to apply

Informal enquiries are welcomed by Professor Adrian Hilton by email (a.hilton@surrey.ac.uk) or via the University of Surrey jobs website https://jobs.surrey.ac.uk/Vacancies.aspx

Further details and the application portal can be found from below: 

https://jobs.surrey.ac.uk/vacancy.aspx?ref=073621

Please feel free to share this advert to those who might be interested. 

Thanks for your attentions. 

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: 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/

12+ fully-funded PhD studentships to start September 2022

Covers fees and a stipend for four years

Application deadline: 30 January 2022

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 inviting applications from UK Home students and International students, as well as students supported by national and international funding bodies, such as the China Scholarship Council (CSC), CONACYT, and the Commonwealth PhD Scholarship scheme. 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 12+ fully-funded 4-year PhD studentships available for students starting in September 2022 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.

The AIM programme also welcomes applications from students who have sponsorship for PhD study from numerous international funding agencies and also accepts self-funded students. For more information on external PhD studentships and self-funded students please visit http://www.aim.qmul.ac.uk/apply .

Apply Now

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

Application deadline: 30 January 2022

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 (Assoc. Prof.) 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: george.fazekas@qmul.ac.uk

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

Fwd: [DMRN-LIST] 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/

12+ fully-funded PhD studentships to start September 2022
Covers fees and a stipend for four years
Application deadline: 30 January 2022

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 inviting applications from UK Home students and International students, as well as students supported by national and international funding bodies, such as the China Scholarship Council (CSC), CONACYT, and the Commonwealth PhD Scholarship scheme. 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 12+ fully-funded 4-year PhD studentships available for students starting in September 2022 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.

The AIM programme also welcomes applications from students who have sponsorship for PhD study from numerous international funding agencies and also accepts self-funded students. For more information on external PhD studentships and self-funded students please visit http://www.aim.qmul.ac.uk/apply .

Apply Now
Information on applications and PhD topics can be found at: http://www.aim.qmul.ac.uk/apply
Application deadline: 30 January 2022
For further information on eligibility, funding and the application process please visit our website. Please email any questions to aim-enquiries@qmul.ac.uk