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| Intitulé: | Enseignant-chercheur en Intelligence Artificielle et Imagerie |
| Type d’offre d’emploi: | Offre de poste dans l’académique |
| Détails de l’offre: | Bonjour à tous, Le département de Mathématiques et d’Informatique de l’ISAE-SUPAERO ouvre un poste d’Enseignant-chercheur en Intelligence Artificielle et Imagerie. La fiche de poste est disponible ici : https://www.isae-supaero.fr/IMG/pdf/fdp_576_-_ec_en_intelligence_artificelle_et_imagerie.pdfLes missions en enseignement portent essentiellement sur le cursus de Sciences des Données (niveau M2) et le/la titulaire sera amené(e) à prendre des responsabilités au sein de son périmètre d’expertise. Le/la titulaire rejoindra le groupe « Systèmes Décisionnels » du département et son projet de recherche contribuera aux travaux en IA. Une implication au sein de SuReLI (Supaero Reinforcement Learning Initiative https://sureli.github.io/) sera particulièrement appréciée. Les candidats sont fortement encouragés à prendre contact avec les équipes du département afin d’affiner leur projet et de préciser les thématiques et les projets d’intérêt. Pour complément d’information : Cordialement, |
| Date limite de candidature: | 2019-03-29 |
| Tél de contact: | 0561338076 |
| Mail de contact: | emmanuel.rachelson@isae-supaero.fr |
| Intitulé: | 14 PhD positions in Machine Learning Frontiers of Precision Medicine |
| Type d’offre d’emploi: | Offre de thèse |
| Détails de l’offre: | 14 PhD positions are open as part of the Initial Training Network on Machine Learning Frontiers in Precision Medicine, in places ranging from ETH Zürich (Switzerland) to IBM Haifa (Israel), University of Tartu (Estonia), Qlucore (Sweden) or Mines ParisTech (Paris).I myself will supervise a PhD student on learning from multi-modal data to improve cancer treatment, starting Fall 2019, at CBIO Mines ParisTech (Paris).
To encourage mobility, the EU mandates that our recruits have not spent more than 12 months in the lab’s country over the 3 years prior to the recruitment date. For details and application, go to https://euraxess.ec.europa.eu/jobs/363030 This first call closes on January 15, 2019. |
| Date limite de candidature: | 2019-01-15T00:00:00+01:00 |
| Mail de contact: | chloe-agathe.azencott@mines-paristech.fr |
| Intitulé: | Adaptive Computational Models of Human Movement to Support Learnability in Embodied Interaction |
| Type d’offre d’emploi: | Offre de thèse |
| Détails de l’offre: | Détail de l’offre : https://www.julesfrancoise.com/documents/ANR_ELEMENT_PhDProposal_LIMSI.pdf————————————— ANR Project ELEMENT: Enabling Learnability in Embodied Movement Interaction Supervision: Yacine Bellik, Jules Françoise Lab: AMI Team, LIMSI-CNRS, Orsay (https://www.limsi.fr/) Dates: Start Jan 2019 – Mar 2019 (duration: 3 years). —————————————CONTEXTBecause memorizing and executing gestures is challenging for users, most current approaches to movement-based interaction consider intuitive interfaces and trivial gesture vocabularies. While these facilitate adoption, they also limit users’ potential for more complex, expressive and truly embodied interaction. Considering movement-based interaction beyond the mouse-keyboard paradigm, the ANR project ELEMENT (Enabling Learnability in Embodied Movement Interaction) proposes to shift the focus from intuitiveness towards learnability: new interaction paradigms require users to develop specific sensorimotor skills compatible with – and transferable between, – digital interfaces (including video interface, mobile devices, internet of things, game interfaces). With learnable interactions, novice users should be able to approach a new system with a difficulty adapted to their expertise, then the system should be able to carefully adapt to the improving motor skills, and eventually enable complex, expressive and engaging interactions. The long-term aim is to foster innovation in multimodal interaction, from assistive technologies to media interaction in creative applications.The project ELEMENT is coordinated by Ircam (Paris), and also involves LRI (Orsay) and LIMSI (Orsay). The PhD candidate is expected to strongly interact with other PhD students and postdocs in the project, and will work in collaboration with all partners. |
| Date limite de candidature: | 2018-12-02 |
| Mail de contact: | jules.francoise@limsi.fr |