[Please forward to anyone you think would be interested and suitable.]
If you are interested in helping to solve the mysteries of how Deep Learning works, then read on - this may be for you!
We have coined the
term “Artificial Neuroscience� to
convey the influence of paradigms from conventional neuroscience on Deep Learning research. This position explores the use of Linear Algebra (e.g. tensor decomposition) to measure and understand the learning and inference
processes of DL “artificial brains’, using this to engineer new, efficient ways to (re-)build those models.
The project is a collaboration between the Centre for Digital Music (School of Electronic Engineering and Computer Science) and the School of Mathematical Sciences and has the support of an internationally
acclaimed Advisory Board. This pilot study will not only study fundamental aspects of Ai, it will also apply the newly developed techniques – where plausible – to real world problems in audio and music. We expect to uncover emergent structure in Deep Learning
models and explore new architectures to build them. We expect to learn how to build more efficient and effective learning machines.
The ideal candidate will hold a PhD or possess equivalent experience and knowledge, with proficiency in Linear Algebra and deep learning model training. Experience in applying these skills to audio is a plus.
Apply by 20 March
Interviews from 31 March
Further details and link to application process:
https://qmul-jobs.tal.net/vx/mobile-0/appcentre-ext/brand-4/candidate/so/pm/1/pl/3/opp/5244-Postdoctoral-Research-Associate-or-Research-Assistant/en-GB
[See also
https://www.frontiersin.org/research-topics/69995/artificial-neuroscience-machine-cognition-and-behaviour for a call for papers on
a similar topic]
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Please note I work part time Monday - Thursday so there may be a delay to my email response.
professor mark sandler, FREng, CEng, FIEEE, FAES, FIET
director of the centre for digital music (c4dm)
school of electronic engineering and computer science, queen mary university of london
mark.sandler@xxxxxxxxxx | +44
(0)20 7882 7680