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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Hello all,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">I’d like to spam you with the following post doctorate position on
<b>Noise-based approaches to AI</b>. Below is a summary of the position.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Current approaches to AI are largely based on extensive vector-matrix multiplication. In this postdoctoral project we would like to
pose the question, what comes next? Increasingly digital computers are going to great lengths to simulate physical systems (i.e., energy-based models, non-equilibrium sampling, score-based diffusion), so why not compute using a physical system directly? Specifically,
we would like to study whether the (stochastic) noise, intrinsic to all biological and silicon systems, could be the computational primitive that the a new generation of AI and hardware might be built upon.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">This question will be answered in two steps. First, we will explore theories regarding the computational role of microscopic and system-level
noise in neuroscience as well as how noise is increasingly leveraged in machine leaning and artificial intelligence. We aim to establish concrete links between these two fields and, in particular, we will explore the relationship between noise and uncertainty
quantification. Building on this, the postdoctoral researcher will then develop new models that leverage noise to carry out cognitive tasks, of which uncertainty is an intrinsic component. This will not only serve as an AI approach, but should also serve as
a computational tool to study cognition in humans as a model for specific brain areas known to participate in functions related to, for example, perception, learning, decision making and uncertainty quantification.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Perspectives of the postdoctoral project should inform how future fMRI imaging and invasive and non-invasive electrophysiological recordings
may be used to test theories of this model. Additionally, the candidate will be expected to interact with other activates in the CEA related to the development of noise-based analogue AI accelerators.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">The postdoc will be based at Minatec, CEA Grenoble but will also work closely with the team at Neurospin, CEA Saclay and be co-supervised
by Thomas Dalgaty (CEA Grenoble) and Florent Meyniel (CEA Saclay). It is a 2 year contract. For candidates already having done a postdoc, there may be a possibility to convert this into a temporary staff researcher position (a CDD in France). <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">If this interests you, we’d be delighted to hear from you ! Please send your CV to
<a href="mailto:thomas.dalgaty@cea.fr">thomas.dalgaty@cea.fr</a> and <a href="mailto:florent.meyniel@cea.fr">
florent.meyniel@cea.fr</a> and we’ll be in touch.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#E50019">Thomas Dalgaty<o:p></o:p></span></b></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#262626">Researcher<o:p></o:p></span></b></p>
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Grenoble<o:p></o:p></span></p>
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