<div dir="ltr"><div class="gmail_default"><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><span style="color:rgb(7,55,99);font-family:verdana,sans-serif">Two Post-doc positions in modelling the uncertainty of vision-language models are available at ETS Montreal and CentraleSupelec Paris, starting as soon as possible.</span></p><br class="gmail-Apple-interchange-newline"></div><div><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">The main goal of this project is to create an open-sourced foundation model for the assessment of breast cancer patients in histology images that can adapt efficiently to novel tasks –both in terms of labeled data and computational complexity– while yielding robust predictions, i.e., accurate uncertainty estimates. We are expected to design and develop novel AI-based models and algorithms for training specifically tailored for analyzing the content of histology images and the efficient adaptation of trained models to novel tasks, which also improve their predictive uncertainty.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">Extensive experiments on real-world clinical data sets will be executed to showcase the viability of our approach, benchmark its performance, and analyze its advantages, limitations, and areas for improvement.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">The proposed research program will devise innovative and robust algorithms to understand the content of histology images in the context of breast cancer (even though observations will be investigated in general computer vision tasks too). These methods will set a new state of the art in providing powerful foundation models that can be adapted efficiently to novel tasks, while yielding well-calibrated predictions. In terms of research outcomes, we expect the results from this research to be published in the top venues of medicine (Nature Machine Intelligence), medical image processing (MedIA, IEEE TMI, MICCAI, IPMI), computer vision (CVPR, ECCV, ICCV) and/or machine learning (NeurIPS, ICLR, ICML). Furthermore, these novel learning strategies will have a significant impact in the general areas of semantic segmentation and classification in a broad span of disciplines. In terms of clinical outcomes, the proposed methods will provide an invaluable tool to support clinicians in the diagnosis, treatment and follow-up of breast cancer, with a high potential to expand it to multiple diseases. The developed algorithms will have a high impact on many healthcare areas, such as personalized medicine and safe deployment of AI approaches in clinical routine.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">Team supervision. The École de Technologie Supérieure of Montreal (ETS) and CentraleSupélec within the Université Paris-Saclay are opening two postdoctoral fellowships of 18 months. The work will be conducted within an international and dynamic environment between ETS and CentraleSupélec locations. The potential candidates are expected to have a strong background at the intersection of Machine Learning, Computer Vision and Medical Imaging, who get inspired by sciences and the opportunities to solve complex vision problems. They should have strong programming skills and a very good understanding of data science, and Machine Learning, as well as a strong publication track in recognized venues of computer</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">vision, machine learning and/or medical image computing.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px 0px 2px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><b><font face="verdana, sans-serif" color="#073763">Position Qualifications</font></b></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• PhD program in Computer Science, Machine Learning, Computer Engineering, Mathematics, or related field (e.g. applied mathematics/statistics).</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Very good understanding of Machine Learning theory and techniques, as well as of computer vision.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Strong publication track in recognized venues of computer vision (CVPR, ECCV, ICCV), machine learning (NeurIPS, ICLR, ICML) and/or medical</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">image computing (MedIA, IEEE TMI, MICCAI).</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Good programming skills in Python (PyTorch).</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Applications/ domain-knowledge in medical image processing is a plus.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Good communication skills in written and spoken English.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Creativity and ability to formulate problems and solve them independently.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">How to apply. Applications should be sent by email to : <a href="mailto:jose.dolz@etsmtl.ca">jose.dolz@etsmtl.ca</a>; pablo.piantanida@mila.quebec; <a href="mailto:maria.vakalopoulou@ecp.fr">maria.vakalopoulou@ecp.fr</a> and</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763"><a href="mailto:stergios.christodoulidis@centralesupelec.fr">stergios.christodoulidis@centralesupelec.fr</a>.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">If you are interested, please send us the following elements as soon as possible</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">and not later than January 31th:</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;min-height:15px"><font face="verdana, sans-serif" color="#073763"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Detailed CV.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Letter of motivation.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• Elements of bibliography or personal achievements related to research activities.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><font face="verdana, sans-serif" color="#073763">• 2 references or recommendation letters.</font></p><p style="margin:0px;font-stretch:normal;font-size:12px;line-height:normal;font-family:Helvetica;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal"><br></p></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><span style="color:rgb(0,0,153)"><b>Jose Dolz</b></span><br></div></div>