Connectionists: Postdoc in constrained ML for I4.0 and edge computing

[Benoît Frenay]

Dear colleagues,

I am offering a postdoctoral position in constrained ML for I4.0 and edge computing.  All details are here below, do not hesitate to forward to any potential candidate.

Best regards,

Benoît Frénay

Postdoc in constrained ML for I4.0 and edge computing

Context:

SMARTSENS is a project funded by the Service public de wallonie Win2Wal program that designs micro-sensors to monitor gas concentrations in various environments, such as industrial facilities and storage locations. The project is 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 machine learning models of sensors to predict gas concentrations in various environments. Considering limited data availability, we are set to incorporate domain insights provided by domain experts. These insights will center around optimizing low-cost hardware for efficiency and integrate physical laws related to the gas dynamics into the developed ML models. One of the scientific challenges will therefore continue the design of the developed machine learning models and their associated constraints to prioritize them.

Working collaboratively with Prof. Benoit Frénay, the candidate will also engage with partners from SMARTSENS. This collaborative network includes the CeREF research center for edge computing integration, and VOCSENS, an industry leader in remote gas sensing solutions and data acquisition.

The postdoc will be integrated in the HuMaLearn (human-centered ML) team (https://humalearn.info.unamur.be/) with about 10 PhD students and other postdocs.

Profile

* PhD in Machine Learning or related domain ;

* 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 ;

* If a visa/permit is necessary, it should be obtained on January 1st at the latest.

Additional information

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.

Remarks

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: November, 15th, 2023 (11h59 pm AoE). Submissions will be processed as they arrive, until the position is filled.

Starting date: January 1st, 2024.

Duration: until end of February 2025.




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