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<hr id="zwchr"><b><span style="mso-ansi-language:EN-US"
lang="EN-US">Engineer position: Bio-inspired toy robot
with reinforcement learning<br>
</span></b>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">We are looking for an engineer with skills in
reinforcement learning, programming, and/or robotics to
contribute to the development of an educational toy robot
embedded with learning capabilities.</span><span
style="mso-ansi-language:EN-US" lang="EN-US"><br>
</span></p>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">The Computing and Data Science team at CNRS
laboratory UNIC (Unit of Neuroscience, Information and
Complexity) develops a bio-inspired robot for future
neuroscience research, which will also be commercialized
as an educative toy to teach children about artificial
intelligence. The current prototype is the object of
regular school classes’ demonstrations.</span> </p>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">The engineer will contribute principally to
the artificial intelligence of the robot, using modern RL
algorithms to improve its learning capabilities and handle
a wider range of sensors (e.g. camera) and reward modes.
In addition, and depending on its qualification, he will
also contribute to hardware prototyping and
hardware/software integration.</span></p>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">Applicants should hold a PhD or a Master
degree in computer science or related fields, display
advanced programming skills and be trained in machine
learning (ideally in the RL field).</span></p>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">Salary: CNRS Research Engineer, gross salary
2,471€ to 2,664€ per month according to experience.</span></p>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">The position is for one year. If the project
is successful, the engineer will have an opportunity to
participate to the creation of the “Naivia” startup by
becoming an early employee or co-founder if appropriate.</span></p>
<p class="MsoNormal"><span style="mso-ansi-language:EN-US"
lang="EN-US">Web page: <span class="MsoHyperlink"><a
href="https://www.unic.cnrs-gif.fr/teams/Computing%20and%20Data%20Science"
moz-do-not-send="true">https://www.unic.cnrs-gif.fr/teams/Computing
and Data Science</a></span>.</span><span
style="mso-ansi-language:EN-US" lang="EN-US"><br>
Contact: <span class="MsoHyperlink"><a
href="mailto:thomas.deneux@unic.cnrs-gif.fr"
moz-do-not-send="true">thomas.deneux@unic.cnrs-gif.fr</a></span></span><span
style="mso-ansi-language:EN-US" lang="EN-US">.</span> </p>
<hr id="zwchr"><br>
<pre class="moz-signature" cols="72"><span style="mso-ansi-language:EN-US" lang="EN-US"></span>--
Dr. Thomas Deneux
Research Engineer, Data Analysis and Software & Head of IT service
CNRS, Neuroscience, Information & Complexity Unit (UNIC)
<a class="moz-txt-link-freetext" href="https://www.unic.cnrs-gif.fr/people/Thomas_Deneux" moz-do-not-send="true">https://www.unic.cnrs-gif.fr/people/Thomas_Deneux</a>
1 av. de la Terrasse
91198 Gif sur Yvette, France
+33 1 69823403
</pre>
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