<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p>Dear coll<u>eagues,</u></p>
<p><span class="break-words"><span dir="ltr">I have an open position
in my human-centered ML team to integrate domain-knowledge
constraints in I4.0 sensors with strict consumption
limitations.</span></span></p>
<p><u>Context:</u></p>
<p>SMARTSENS is a project funded by the Service public de wallonie
Win2Wal program that will design micro-sensors to monitor gas
concentrations in various environments, such as industrial
facilities and storage locations. The project will be conducted in
partnership with the University of Namur, the Haute Ecole Louvain
en Hainaut (CeREF research center) and the Belgian VOCSENS
company. The project benefits from the University of Namur
expertise in machine learning and the CeREF expertise in edge
computing for the processing of data from the sensors. Indeed,
models will be used locally with strict consumption limitations.</p>
<p><u>Job description:</u></p>
<p>The goal of this postdoctoral research is to define, design and
evaluate models of sensors to predict gas concentrations in the
environment. Due to data scarcity, we will integrate domain
constraints given by experts (i.e., physical and technological
constraints) to help learning algorithms. One of the scientific
challenges will therefore be to design relevant types of
constraints and to prioritise them. The candidate will work with
Prof. Benoit Frénay and collaborate with SMARTSENS partners,
including the CeREF research center for edge computing integration
and the VOCSENS company for its expertise in remote gas sensing
solutions.</p>
<p><u>Job Requirements:</u></p>
<ul>
<li>PhD in Machine Learning;</li>
<li>Autonomy and ability to work in a multi-disciplinary team;</li>
<li>Excellent publication record;</li>
<li>Proficiency in English (both speaking and writing) is
mandatory, knowledge of French and/or Dutch is considered as a
plus.</li>
</ul>
<p><u>About the employer </u></p>
<p>The Faculty of Computer Science provides cutting-edge teaching
and research, with a view to putting computers at the service of
society, by taking into account their impact on the environment
and by respecting the values of solidarity and sustainable
development. The Faculty is a founding member of the Namur Digital
Institute (NADI) which gathers over 150 researchers in the field
of digital technology. It has a multi-disciplinary approach and
addresses in particular the issues and challenges of computer
science in organisations and in society. The Faculty of Computer
Science has over 400 students, 80 members of staff including 18
professors and around 50 researchers. Founded in 1968, the Faculty
of Computer Science has trained over 1,800 high-level computer
science graduates since then.</p>
<p><u>How to apply</u></p>
<p>Applications should be sent by e-mail to: <a
href="mailto:benoit.frenay@unamur.be">benoit.frenay@unamur.be</a>
and contain the following:</p>
<ul>
<li>Motivation letter</li>
<li>Curriculum vitae, including publication list</li>
<li>Copy of Diplomas (Bachelor, Master and PhD, if available)</li>
<li>PhD thesis (if available)</li>
<li>2-3 recent publications</li>
<li>Names and e-mail addresses of 3 reference persons to be
contacted upon request</li>
</ul>
<p>Note: Soon to be graduating PhD students are welcome to apply
provided that they will have defended their PhD prior to the start
of the position.</p>
<p><u>Important dates</u></p>
<p>Submission deadline: October, 31<sup>st</sup>, 2021 (11h59 pm
AoE).</p>
<p>Expected starting date: December 1<sup>st</sup> or January 1st,
2022 (negotiable, depending on COVID or candidate constraints).</p>
</body>
</html>