Friday, November 29, 2019

Fwd: [DMRN-LIST] Job Announcement - Research Assistant at C4DM (Queen Mary Univ of London) - Cover Song Detection




The Centre for Digital Music (C4DM) at Queen Mary University of London
(QMUL) has a vacancy for a Postdoctoral Research Assistant (PDRA) in
music information retrieval, as part of the Innovate UK funded project
"Development of next generation music recognition algorithm for content
monitoring", in collaboration with Breathe Music Ltd.  The position is
available to start immediately and runs until 31 March 2021.

The responsibilities of the role are to investigate, develop and
evaluate machine learning and music information retrieval technologies
for automatically recognising alternative versions of a song
irrespective of the style in which it is being played – a problem also
known as musical work recognition or cover song detection. The work will
include evaluating existing methods for musical work recognition from
audio, proposing new methods, and developing software tools for the same
task.

See full details and how to apply here:
https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwebapps2.is.qmul.ac.uk%2Fjobs%2Fjob.action%3FjobID%3D4874&data=02%7C01%7C%7Ccb8eb65598ef498afb9708d774d80a84%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637106343541719088&sdata=jPBO6QW5E1elGQLQEcQqQbfkgyFbY5x5rqjs0zN%2BdDQ%3D&reserved=0

Applicants must be able to demonstrate the right to work in the UK.

Cheers

Simon

--
Simon Dixon
Centre for Digital Music
School of Electronic Engineering and Computer Science
Queen Mary University of London
Mile End Road, London, E1 4NS, UK
https://eur01.safelinks.protection.outlook.com/?url=http:%2F%2Fwww.eecs.qmul.ac.uk%2F~simond&data=02%7C01%7C%7Ccb8eb65598ef498afb9708d774d80a84%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637106343541719088&sdata=u7a%2F76kV7VagOX1txSlb9dANSqgcrdiAdG0EJsGpUts%3D&reserved=0


Tuesday, November 19, 2019

Fwd: FW: Human Resources Advertisement - Post Doctoral Researcher in Participatory/Arts-Based Migrant Health Research (0.5 FTE)


Subject: post Doctoral Researcher in Participatory/Arts-Based Migrant Health Research (0.5 FTE)

 

The University of Limerick (UL) with over 15,000 students and 1,400 staff is an energetic and enterprising institution with a proud record of innovation and excellence in education, research and scholarship. The dynamic, entrepreneurial and pioneering values which drive UL's mission and strategy ensures that we capitalise on local, national and international engagement and connectivity. We are renowned for providing an outstanding student experience and employability and conducting leading edge research. Our commitment is to make a difference by shaping the future through educating and empowering our undergraduate and postgraduate students. UL is situated on a superb riverside campus of over 130 hectares with the River Shannon as a unifying focal point. Outstanding recreational, cultural and sporting facilities further enhance this exceptional learning and research environment.

 

Applications are invited for the following position:

 

Faculty of Arts, Humanities & Social Sciences

 

Irish World Academy of Music & Dance

 

Post Doctoral Researcher in Participatory/Arts-Based Migrant Health Research (0.5 FTE) – Specific Purpose Contract

 

Salary Scale: €37,874- €49,048 p.a. pro rata (maximum starting salary €41,373 p.a. pro rata)

 

Further information for applicants and application material is available online from: http://www.ul.ie/hrvacancies/

 

The closing date for receipt of applications is Tuesday, 26th November 2019.

 

Applications must be completed online before 12 noon, Irish Standard Time on the closing date.

 

This position is subject to Garda Vetting and Foreign Police Clearance. If you have resided outside Ireland for a cumulative period of 36 months or more over the age of 18 years you must furnish a Foreign Police Clearance (FPC) from the country or countries of residence. Please note; any costs incurred in this process will be borne by the candidate.

 

Please note your application must include:

 

A letter of introduction indicating how you meet the criteria outlined in the Job description.

A completed online Application Form (separate application forms must be submitted for each post applied for).

 

Please email erecruitment@ul.ie if you experience any difficulties

 

Applications are welcome from suitably qualified candidates.

The University of Limerick holds a Bronze Athena SWAN award in recognition of our commitment to advancing equality in higher education. The University is an equal opportunities employer and is committed to selection on merit welcoming applicants from all sections of the community. The University has a range of initiatives to support a family friendly working environment, including flexible working.

 

"The University of Limerick has implemented a "Smoke and Vape Free Campus Policy".  Smoking and vaping in all forms is prohibited."

 

HR excellence in research     Image result for ECU Gender Charter Logo    

 

    HRI logo   N&M logo               GEMS logo                    Doras Logo

 

Wednesday, November 13, 2019

Fwd: [DMRN-LIST] Funded Interdiscilnary PhDs in Musical Machines, Feedback Musicianship and Robot Opera - Jan 31st deadline


The University of Sussex invites applications for PhD studentship awards within its Leverhulme Doctoral Scholarship Programme entitled "From Sensation and Perception to Awareness", directed by Jamie Ward and Anil Seth.

The prestigious Sussex Leverhulme Trust Doctoral Scholarship Programme brings together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. The Programme will support an intake of up to NINE students starting in September 2020. PhD students will be registered within one of the participating schools (Life Sciences, Informatics, Psychology, Media Film & Music, and Brighton and Sussex Medical School). The closing date for applications is January 31st, 2020. For further details, including how to apply, see…

https://www.findaphd.com/phds/program/studentships-available-from-the-university-of-sussex-s-leverhulme-doctoral-scholarship-programme-from-sensation-and-perception-to-awareness/?i356p3783


 31st January for closing date and 24+25 Feb for interviews.



Investigating Feedback Musicianship

Supervisors: Dr Chris Kiefer, C.Kiefer@sussex.ac.uk  & Dr Alice Eldridge alicee@sussex.ac.uk

Apply to the School of Media, Film and Music

There is a growing interest in the creation of and performance with feedback instruments, musical instruments which are characterised by the recurrent circulation of signals, leading to non-linear and complex system dynamics (Eldridge and Keifer, 2017).  These dynamics create characteristic sonic outputs, and also mean that the more-or-less stable sensory-motor contingencies which underpin mastery of and performance with traditional instruments dissolve: there are dynamic, often unpredictable, rather than fixed relationships between physical gestures and sonic outcomes. These instruments possess 'a stimulation uncontrollability' (Ulfarsson 2019); compared to traditional performance practice, feedback musicianship is characterised by a more distributed agency between instrument and player.  Feedback instruments raise new questions around the nature of musician-machine interactivity, and provide a window into wider concerns of human engagement with real-world complex dynamical systems.  We welcome research proposals which investigate and advance our understanding of the experience of feedback musicianship; this could be approached through practice led research together with computational, psychological or physiological methods. Candidates should have an interest in and experience of the study of complex systems, a grounding in cognitive science and have experience in musical improvisation (in any idiom). A third supervisor will be sought according to the needs of the research proposal, in for example, philosophy, neuroscience or psychology.


Performing with Musical Machines

Supervisors: Prof Thor Magnusson, T.Magnusson@sussex.ac.uk

Apply to the School of Music, Film and Media

Recent developments in music technology and artificial intelligence have made the prospect of collaborating and performing with virtual and real musical machines actual. Our systems can learn, evolve and demonstrate creative behaviour. But how do we perceive these machines? How do we talk about computational creativity in its diverse manifestations? What language is emerging here regarding agency, authenticity and authorship? This project will develop series of experiments in robotic and virtual computational creativity and conduct related user studies. It will also engage in discourse analysis of how labs and companies around the world are presenting their creative technologies. The project is an interdisciplinary study with one foot in computer science and the other in the humanities.


Explorations in Robot Opera
Supervisor: Dr Evelyn Ficarra, E.J.Ficarra@sussex.ac.uk

Apply to the School of Music, Film and Media

The idea of using the performing arts as a laboratory through which to explore human – robot interaction (HRI) is gaining traction as a way of energising both the arts and the development of artificial intelligence.  Note, for example, the recent Performing Robots conference in Utrecht in May 2019, which repeatedly posited the idea of theatre as a 'test bed' for HRI explorations. Opera is a form which involves a high level of musical, theatrical and visual creativity. Experimental forms of opera, especially devised music theatre and improvisational forms, could therefore be the ideal HRI 'sand pit'. The abilities displayed by good musical / dramatic improvisers, for example (listening skills, a sense of timing and proportion, a commitment to team work, and ability to respond quickly and adapt to a changing situations, an ability to imaginatively co-create) could also be seen as transferable and highly prized social skills, in the development of AI. On the other hand, the influx of robotic and artificial intelligence technologies into the performing arts asks key questions about the nature and meanings of performance itself, as an augmented human experience. Which technologies will create the most compelling 'operatic' experience, and how might they re-define the form? Diverse proposals are welcome. Applicants should have a balance of expertise and/or strong interest in at least two of the following: music composition for opera or music theatre, robotics, music programming (e.g. of improvisational systems), artificial intelligence, machine learning, sensor driven technology.



--
Dr Alice Eldridge
Lecturer in Music & Music Technology
Co-Director Sussex Humanities Lab
University of Sussex
Falmer
Brighton
BN1 9RG

alicee@sussex.ac.uk
+44 (0)1273 877411
@alicealicealice
www.ecila.org