Unsolicitated Applications
We are always looking for talented researchers (master students, Ph.D. students, Postdocs, engineers). People interested in joining our research group should send a resume and a brief list of research interests to Amaury Habrard (amaury.habrard @ univ-st-etienne.fr).
Ph.D. openings
Unveiling and Incorporating Knowledge in Physics-Guided Machine Learning Models
Postdoc openings
Post-doctoral position: Modeling, Optimization and Transfer for Physics-based Machine Learning
Start: Early 2024 / At your earliest convenience
Location: Laboratoire Hubert Curien (Université Jean Monnet, St-Etienne)
The selected candidate will work on the development of new joint methodological contributions at the interface between machine learning and physics. Research axes will be tailored to suit the candidate's profile and experience.
Interested candidates should send the following information as soon as possible:
- Cover letter with justification of your skills for the topic,
- A complete Curriculum Vitae,
- Top 3 publications,
- PhD diploma and thesis,
- Any additional document: letter(s) of recommendation, publications, etc.
to both:
- Amaury Habrard amaury.habrard @ univ-st-etienne.fr
- Jordan Frecon Deloire jordan.frecon.deloire @ univ-st-etienne.fr
Consult the data sheet below for detailed information on this offer:
Download the file: «2023___Postdoc_Proposal-1.pdf» (227.6 Ko)
master internship openings
Internship - Machine learning: Teaching machine fairness
Start: Spring 2023
Application deadline: 15th January 2023
Location: Laboratoire Hubert Curien (Université Jean Monnet - UJM, St-Etienne)
This internship will focus on a novel subject: teaching machine fairness. Concerns about the equity and ethics of large language models like ChatGPT have emerged within the machine learning community. While most existing works make the model forget the sensitive attribute (e.g. gender), the objective here is to find a way to teach the model what is fair and what isn’t, in order to be able to more accurately control its decisions.
Interested candidates should send a CV and a cover letter to:
- Antoine Gourru, Associate Professor antoine.gourru @ univ-st-etienne.fr
Download the file «Internship_Machine learning Teaching machine fairness.pdf» (214.8 Ko)
Internship - MOLE: Model Optimization from Learning Examples
Start: Spring 2023
Application deadline: 15th January 2023
Location: of choice @ Laboratoire Hubert Curien (Université Jean Monnet - UJM, St-Etienne) or @ Laboratoire ERIC (Université Lumière Lyon 2 - Lyon)
This internship aims to contribute to the field of meta-learning by applying the diffusion model to learning-to-learn approaches. While diffusion models have been utilized as meta-trainers, they face limitations, especially in parameter modeling and lacking conditioning during the meta-training stage. This project aims to overcome these limitations.
Interested candidates should send a CV and a cover letter to both:
- Antoine Gourru, Associate Professor antoine.gourru @ univ-st-etienne.fr
- Jairo Cugliari, Associate Professor jairo.cugliari @ univ-lyon2.fr
Download the file «Internship_MOLE Model Optimization from Learning Examples.pdf» (294.5 Ko)