Connectionists: 3-year Postdoc in ML to integrate constraints for I4.0 sensors

[Benoît Frénay]

Dear coll_eagues,_

I have an open position in my human-centered ML team to integrate 
domain-knowledge constraints in I4.0 sensors with strict consumption 
limitations.

_Context:_

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.

_Job description:_

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.

_Job Requirements:_

  * PhD in Machine Learning;
  * Autonomy and ability to work in a multi-disciplinary team;
  * Excellent publication record;
  * Proficiency in English (both speaking and writing) is mandatory,
    knowledge of French and/or Dutch is considered as a plus.

_About the employer _

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.

_How to apply_

Applications should be sent by e-mail to: benoit.frenay at unamur.be 
<mailto:benoit.frenay at unamur.be> and contain the following:

  * Motivation letter
  * Curriculum vitae, including publication list
  * Copy of Diplomas (Bachelor, Master and PhD, if available)
  * PhD thesis (if available)
  * 2-3 recent publications
  * Names and e-mail addresses of 3 reference persons to be contacted
    upon request

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.

_Important dates_

Submission deadline: October, 31^st , 2021 (11h59 pm AoE).

Expected starting date: December 1^st or January 1st, 2022 (negotiable, 
depending on COVID or candidate constraints).

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20211005/9fa7c5a5/attachment.html>