Offre en lien avec l’Action/le Réseau : DOING/– — –

Laboratoire/Entreprise : Internationa Laboratory on Learning Systems (IRL –
Durée : 18 months
Contact : pablo.piantanida@centralesupelec.fr
Date limite de publication : 2024-04-15

Contexte :
We are excited to share an interesting opportunity for two postdoctoral fellows, each with an 18- month tenure, to actively contribute to groundbreaking research in the field of AI for breast cancer screening.

Sujet :
Our project, funded by FRQS and Health Data Hub, titled “AI Foundation Models for Breast Cancer Screening: Advancing Early Detection through AI,” is calling for skilled individuals to become part of our international team between the International Laboratory on Learning Systems (ILLS) together with the Quebec AI Institute, located in Montreal (QC, Canada), and MICS located in CentraleSupelec within Paris-Saclay University (France). This role offers a key position in shaping the development and progress of AI-driven solutions for early breast cancer detection.

For further details check: https://sites.google.com/mila.quebec/pablo-piantanida/openings? authuser=0#h.kyzvdsd2q45m

Profil du candidat :
= Position Qualifications =
+ PhD program in Computer Science, Machine Learning, Computer Engineering, Mathematics, or related field (e.g. applied mathematics/statistics).
+ Very good understanding of Machine Learning theory and techniques, as well as of computer vision.
+ Strong publication track in recognized venues of computer vision (CVPR, ECCV, ICCV), machine learning (NeurIPS, ICLR, ICML) and/or medical image computing (MedIA, IEEE TMI, MICCAI).
+ Good programming skills in Python (PyTorch).
+ Applications/ domain-knowledge in medical image processing is a plus.
+ Good communication skills in written and spoken English.
+ Creativity and ability to formulate problems and solve them independently.

Formation et compétences requises :
= How to apply =
If you are interested, please send us the following elements as soon as possible and not later than January 31th:
+ Detailed CV.
+ Letter of motivation.
+ Elements of bibliography or personal achievements related to a research activity.
+ 2 references or recommendation letters.
If you are interested and meet the qualifications, please submit your application letter and CV by email.

Adresse d’emploi :
ETS Montreal (1100 Notre-Dame St W, Montreal, Quebec H3C 1K3) and CentraleSupelec (3 Rue Joliot Curie, 91190 Gif-sur-Yvette)

Document attaché : 202401152037_Projet_de_postdocs_MICS___ILLS-2.pdf