[Job-offers-cs] [Postdoc position]: algorithmic aspects of artificial neural network sparsification, at INRIA Sophia Antipolis (France)

[Pekka Orponen]

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Subject: 	[DMANET] [Postdoc position]: algorithmic aspects of artificial 
neural network sparsification, at INRIA Sophia Antipolis (France)
Date: 	Mon, 14 Mar 2022 18:57:04 +0100 (CET)
From: 	Emanuele Natale <emanuele.natale at inria.fr>
To: 	dmanet at zpr.uni-koeln.de



Postdoc position at INRIA Sophia Antipolis on algorithmic aspects of 
artificial neural network sparsification

In the COATI joint team between INRIA Sophia Antipolis and the I3S Lab 
at Université Côte d'Azur, we are looking for a postdoc to join a 
project which aims at investigating algorithmic procedures for improving 
the speed with which neural networks can be evaluated, and at shedding 
light on how much information about the computational problem at hand 
can be encoded within neural networks of small size. In particular, the 
project focuses on the design of sparsification algorithms that, given a 
pre-existing network, modify its structure by exploiting the high level 
of redundancy that is typical of modern architectures, and produce a 
network with a reduced number of neurons and a topology which is adapted 
for novel techniques which speed network evaluation up. The ideal 
candidate has a solid background in algorithms and/or mathematics, 
values developing scientific software and is interested in applying 
algorithmic techniques to the problem of sparsifying artificial neural 
networks and related problems. Prior knowledge on artificial neural 
networks is not required. Implementations and experiments in the project 
are being developed using the Julia programming language, therefore a 
desire for getting rapidly familiar with it is expected. The postdoc is 
expected to conduct original scientific research and develop software 
within the scope of the project, in collaboration with Emanuele Natale 
and Laurent Viennot.

The candidate will also have the opportunity to periodically visit the 
IRIF Laboratory in Paris. For more information and to apply for the 
position, please visit the website 
https://recrutement.inria.fr/public/classic/fr/offres/2022-04607

Best regards,

Emanuele Natale
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