Missions Context: ARIAC is a large project funded by the Walloon Region with about 50 researchers in AI in all five French-speaking universities of Belgium. Prof. Benoît Frénay is recruiting a postdoc for up to 2 years inside the human-centered machine learning (HuMaLearn) team. The research topics will be discussed with the candidate and should be aligned with the research interests of HuMaLearn in sustainable and trustworthy AI. Examples of topics in machine learning (ML) and deep learning (DL) that are relevant include energy-efficient DL models (at learning or inference), trustworthiness of sequential DL models (e.g., interpretability, constraint satisfaction, visualisation of inner working, data augmentation for robustness), dimensionality reduction, interaction mechanisms for ML or DL and the Rashomon effect in ML or DL. Job description: The goal of this postdoctoral research is to (i) do research in topics that will be defined with Benoît Frénay and (ii) help Benoît Frénay to coordinate the ARIAC project at the UNamur level. The candidate will also need to spend 15% of her/his time on applied research challenges proposed by the applied research centers that are partners in ARIAC. This will be an opportunity to extend her/his network and to work on exciting questions with real data. The position will be granted for one year, then renewed for one additional year after evaluation. Profil Job Requirements: PhD in machine learning and/or deep learning (or equivalent, e.g., PhD in mathematics or physics with strong skills in deep learning, attested by relevant publications); 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 is considered as a plus. Remarques About the employer The HuMaLearn team gathers about ten PhD researchers and postdocs, all working in machine learning or deep learning, both on theoretical or more applied and interdisciplinary aspects. 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@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. However, due to time constraints of the project, candidates who need to apply for a visa to start in Belgium will not be considered. Applications will be processed as they arrive, do not hesitate to apply early or to contact us at benoit.frenay@unamur.be for further information about the position. Important dates Submission deadline: September 17th 2025 Expected starting date: October 2025
<div><p>Missions</p> <p><b>Context:</b></p> <p> ARIAC is a large project funded by the Walloon Region with about 50 researchers in AI in all five French-speaking universities of Belgium. Prof. Benoît Frénay is recruiting a postdoc for up to 2 years inside the human-centered machine learning (HuMaLearn) team. The research topics will be discussed with the candidate and should be aligned with the research interests of HuMaLearn in sustainable and trustworthy AI. Examples of topics in machine learning (ML) and deep learning (DL) that are relevant include energy-efficient DL models (at learning or inference), trustworthiness of sequential DL models (e.g., interpretability, constraint satisfaction, visualisation of inner working, data augmentation for robustness), dimensionality reduction, interaction mechanisms for ML or DL and the Rashomon effect in ML or DL.</p> <p><b> Job description:</b></p> <p> The goal of this postdoctoral research is to (i) do research in topics that will be defined with Benoît Frénay and (ii) help Benoît Frénay to coordinate the ARIAC project at the UNamur level. The candidate will also need to spend 15% of her/his time on applied research challenges proposed by the applied research centers that are partners in ARIAC. This will be an opportunity to extend her/his network and to work on exciting questions with real data.</p> <p> The position will be granted for one year, then renewed for one additional year after evaluation.</p> <p>Profil</p> <p><b>Job Requirements:</b></p> <ul> <li>PhD in machine learning and/or deep learning (or equivalent, e.g., PhD in mathematics or physics with strong skills in deep learning, attested by relevant publications);</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 is considered as a plus.</li> </ul><p>Remarques</p> <p><b>About the employer</b></p> <p> The HuMaLearn team gathers about ten PhD researchers and postdocs, all working in machine learning or deep learning, both on theoretical or more applied and interdisciplinary aspects. 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><b> How to apply</b></p> <p> Applications should be sent by e-mail to: benoit.frenay@unamur.be 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. However, due to time constraints of the project, candidates who need to apply for a visa to start in Belgium will not be considered.</p> <p> Applications will be processed as they arrive, do not hesitate to apply early or to contact us at benoit.frenay@unamur.be for further information about the position.</p> <p><b> Important dates</b></p> <p><b> Submission deadline: September 17th 2025</b></p> <p> Expected starting date: October 2025</p></div>
2b70aa98a374fe92
Namur (city)
2-year Postdoc in Machine Learning
2 days ago
BE
english speaking jobs belgium