Dear all,
A funded PhD place in the fields of machine listening / music
informatics is available at the Centre for Digital Music, Queen Mary
University of London.
Full details below, or at
http://www.jobs.ac.uk/job/AMT233/ .
Best,
Emmanouil Benetos
Funded PhD studentship in Machine Listening / Music Informatics
at the Centre for Digital Music, Queen Mary University of London
Applications are invited from all nationalities for a funded PhD
Studentship starting Autumn 2016 within the Centre for Digital Music
(C4DM) in the fields of machine listening / music informatics.
RESEARCH PROJECT: PhD applications are invited that address one of
the following topics:
- Recognition and Separation of Musical Instruments in Polyphonic
Audio: The goal of this project is to develop computational
techniques for automatic identification/separation of multiple
instruments in music signals, as well as instrument assignment –
i.e. assigning detected notes to a specific instrument.
- Sound Event Detection in Multisource Environments: This project
will focus on detecting sound events from everyday acoustic scenes.
The successful candidate will research and develop computational
methods suitable for detecting overlapping acoustic events in noisy
and complex environments.
- Music Language Models for Audio Analysis: The goal of this project
is to develop language models for polyphonic music and integrate
them to systems for analysing music signals (e.g. automatic music
transcription, chord estimation), in a similar way that spoken
language models are combined with acoustic models for automatic
speech recognition.
SKILLS: Candidates must have a first-class honours degree or
equivalent, and/or a good MSc Degree in Computer Science, Electronic
Engineering, Music/Audio Technology, or a related discipline.
Knowledge of digital signal processing and/or machine learning is
desirable, as well as programming experience in, e.g. MATLAB,
Python, Java, C++ or similar. Experience in research and a track
record of publications is advantageous. Formal music training is
also desirable for the 3rd topic. There is scope to tailor the
research to the interests and skills of the successful candidate.
SUPERVISION: The candidate will be supervised by Dr Emmanouil
Benetos (
http://www.eecs.qmul.ac.uk/~emmanouilb/). The project will
be based in the School of EECS, and the student will join a group of
around 60 full-time PhD students, post-doctoral researchers and
academics in the Centre for Digital Music
(
http://c4dm.eecs.qmul.ac.uk/), a world-leading multidisciplinary
research group in the field of Music & Audio Technology.
FUNDING: The studentship is for 3 years, and covers student fees as
well as a tax-free stipend of 16,057 GBP per annum.
To apply, please follow the on-line process at
(
http://www.qmul.ac.uk/postgraduate/applyresearchdegrees/); click on
the list of Research Degree Subjects, select ‘Electronic
Engineering’ in the ‘A-Z list of research opportunities’, and follow
the instructions on the right-hand side of the web page.
Please note that instead of the 'Research Proposal' we request a
'Statement of Research Interests'. Your statement should answer two
questions: (i) Why are you interested in the topic described above?
(ii) What relevant experience do you have? Your statement should be
brief: no more than 500 words or one side of A4 paper. In addition
we would also like you to send a sample of your written work (e.g.
excerpt of final year dissertation or published academic paper).
More details can be found at:
http://www.eecs.qmul.ac.uk/phd/how-to-apply . Informal enquiries
about the studentship can be made by email to Dr Benetos
(
emmanoui...@qmul.ac.uk).
The closing date for the applications is 29 February 2016;
interviews are expected to take place during March 2016.
--
Dr Emmanouil Benetos
RAEng Research Fellow, Lecturer
Centre for Digital Music
School of Electronic Engineering and Computer Science
Queen Mary University of London
Tel: +44 (0)20 7882 7986
http://www.eecs.qmul.ac.uk/~emmanouilb/