Connectionists: PhD Position on Neuro-Symbolic Modelling of Music (Durham, UK)

[Robert Lieck]

Dear all,

I am happy to announce a funded *PhD position on neuro-symbolic 
modelling of music* at Durham University (UK). The project is about 
combining *deep learning* with structured/*symbolic methods* (artificial 
grammars, graphical models, etc.) to address fundamental challenges in 
*machine learning *and*music analysis*.

More details can be found here 
<https://euraxess.ec.europa.eu/jobs/787162> and below. Please distribute 
to anyone who might be interested.

Many thanks!

Best wishes,
Robert

/(apologies for cross-posting)/

-- 
*Dr Robert Lieck* (he/him)
*Assistant Professor*
/Department of Computer Science/
/Durham University/
robert.lieck at durham.ac.uk

========================================

*More information can be found **here 
<https://euraxess.ec.europa.eu/jobs/787162>**.*

This funded PhD position is about developing novel algorithmic tools for 
music analysis using deep learning and structured/symbolic methods. It 
will combine approaches from computational musicology, image analysis, 
and natural language processing to advance the state of the art in the 
field.

Music analysis is a highly challenging task for which artificial 
intelligence (AI) and machine learning (ML) is lagging far behind the 
capabilities of human experts. Solving it requires a combination of two 
different model types: (1) neural networks and deep learning techniques 
to extract features from the input data and (2) structured graphical 
models and artificial grammars to represent the complex dependencies in 
a musical piece. The central goal of the project is to leverage the 
synergies from combining these techniques to build models that achieve 
human-expert level performance in analysing the structure of a musical 
piece.

*You will get:*

  * the chance to do your PhD at a *world-class university* and conduct
    *groundbreaking research *in machine learning and artificial
    intelligence
  * the opportunity to work on an *interdisciplinary *project with
    *real-world applications* in the field of music
  * *committed supervision* and *comprehensive training* (regular
    one-on-one meetings, ample time for discussion, detailed feedback,
    support in your scientific development, e.g., presentation skills,
    research methodology, scientific writing etc.)
  * a *stimulating*, *diverse*, and *supportive *research environment
    (as member of the interdisciplinary AIHS group
    <https://aihs.webspace.durham.ac.uk/>)
  * the opportunity to publish in *top journals*, attend *international
    conferences*, and build a *network of collaborations*

*You should bring:*

  * *enthusiasm *for interdisciplinary research in artificial
    intelligence and music
  * an *open mind-set* and creative *problem-solving* skills
  * a *solution-oriented* can-do mentality
  * a desire to *understand *the structure of *music *and its inner workings
  * a good command of a*modern programming language* (preferably Python)
    and familiarity with a modern *deep learning framework* (e.g. PyTorch)
  * a strong master degree (or equivalent) with a significant
    *mathematical *or *computational *component

If you are interested, please send an email with your CV and a short 
informal motivation to Robert Lieck robert.lieck at durham.ac.uk for 
initial discussions.

*Important Note:* We are looking to fill this position as soon as 
possible (the position is still open as long as it is advertised) and 
are accepting applications on a rolling basis. The preferred start date 
is October 2022 (new academic year). We would particularly like to 
encourage applications from women, disabled, Black, Asian and other 
minority ethnic candidates, since these groups are currently 
underrepresented in our area.

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