{"id":2530,"date":"2019-10-26T10:14:37","date_gmt":"2019-10-26T10:14:37","guid":{"rendered":"https:\/\/www.isir.upmc.fr\/nous-rejoindre\/"},"modified":"2026-10-12T11:01:03","modified_gmt":"2026-10-12T09:01:03","slug":"opportunites","status":"publish","type":"page","link":"https:\/\/www.isir.upmc.fr\/nous-rejoindre\/opportunites\/","title":{"rendered":"Opportunit\u00e9s"},"content":{"rendered":"\n    <header class=\"\">\n                    <h2 class=\"c-headline\">Offres d&#8217;emploi<\/h2>\n                            <\/header>\n<div class=\"c-collapsibles\">\n    \n        <div class=\"toggle-section\">\n            <h2 class=\"c-collapsible__title\">\n                <button class=\"js-collapsible-button\">\n                    <svg aria-hidden=\"true\" focusable=\"false\" viewBox=\"0 0 10 10\">\n                        <rect class=\"icon-plus-v\" height=\"8\" width=\"2\" y=\"1\" x=\"4\" \/>\n                        <rect class=\"icon-plus-h\" height=\"2\" width=\"8\" y=\"4\" x=\"1\" \/>\n                    <\/svg>\n                    Post-doctorat : HAPSEAT &#8211; Validating a Haptic Seating Platform for Wellbeing                <\/button>\n            <\/h2>\n            <div class=\"c-collapsible__content o-content\">\n                <div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><strong>HAPSEAT: Validating a Haptic Seating Platform for Wellbeing<\/strong><\/p>\n<p>A 2-year post-doctoral position in human perception and haptics is open at ISIR (www.isir.upmc.fr), Sorbonne University, in the center of Paris, under the supervision of Sinan Haliyo, Gilles Bailly &amp; Malika Auvray (www.isir.upmc.fr).<\/p>\n<p>The position is funded by the European Eurostars programme, as part of the HAPSEAT project (Haptic Seating for Wellbeing). <strong>The aim of the research<\/strong> to be conducted is to empirically validate the conditions of efficacy and safety of a haptic seating platform delivering multipoint vibrotactile stimulation, intended to support wellbeing across aviation, automotive, office, and healthcare settings.<\/p>\n<p>In particular, the postdoctoral researcher will design and run controlled studies with human participants combining behavioural measures (e.g., psychometric scales, efficiency), physiological measures (e.g., heart-rate, electrodermal activity), body-pressure mapping, and subjective reports. Many scientific questions arise from this research programme, including the placement and tuning of tactile vibrators across body types, the psychophysical thresholds and perceptual mapping of vibrotactile patterns, the safe exposure limits for long-duration use, and the measurable effect of haptic routines on stress, relaxation and focus. All these questions will constitute advances toward turning a promising haptic prototype into a scientifically validated, certifiable wellbeing product.<\/p>\n<p><strong>This post-doctoral project<\/strong> is part of a broader European consortium of five partners: Innovobot Labs (coordinator), Nanomade, Ohmnum, Go Touch VR, and SU-ISIR (S. Haliyo, G. Bailly, M. Auvray). The aim of the consortium is to bring the Haptic Seating for Wellbeing platform from prototype to industrial maturity, combining sensing, haptic middleware, content design, and scientific validation.<\/p>\n<p><strong>Working environment:<br \/>\n<\/strong>The applicant will join the team ACIDE (https:\/\/www.isir.upmc.fr\/teams\/acide\/?lang=en) at ISIR, a broad group of researchers interested in embedded action, cognition, interaction and decision. The Sorbonne-University Campus (https:\/\/www.sorbonne-universite.fr\/en) is a world-class multidisciplinary University where the applicant will benefit from possibilities of training in a broad range of disciplines (human factors, biomechanics, statistics, signal processing) and numerous possibilities to interact with the industrial partners of the consortium.<\/p>\n<p><strong>Qualifications and skills:<br \/>\n<\/strong>Ph.D. in Experimental or Cognitive Psychology, Human Factors, Biomedical Engineering, Cognitive Science, Psychophysics, or a related field. The applicant will undertake important responsibility for carrying out all aspects of the research project including study design, ethics submissions, data collection, statistical analysis, writing publications and validation dossiers.<\/p>\n<p><strong>Application process:<\/strong><br \/>\nThe position is currently open, we welcome applications as of now, until filled, preferably before January 2027. The start date is expected to be between December 2026 and February 2027 (with flexibility). The salary ranges between 2900 and 3400 gross (depending on previous experience) per month. The interested candidates should send a CV, a brief statement of research interest, and the names and contact details of two references to Sinan Haliyo &amp; Malika Auvray (sinan.haliyo@sorbonne-universite.fr &amp; malika.auvray@sorbonne-universite.fr).<\/p>\n<p><a href=\"https:\/\/www.isir.upmc.fr\/wp-content\/uploads\/2026\/10\/Postdoc_HAPSEAT_ISIR.pdf\" target=\"_blank\" rel=\"noopener\">Download this job offer<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n            <\/div>\n        <\/div>\n\n    \n        <div class=\"toggle-section\">\n            <h2 class=\"c-collapsible__title\">\n                <button class=\"js-collapsible-button\">\n                    <svg aria-hidden=\"true\" focusable=\"false\" viewBox=\"0 0 10 10\">\n                        <rect class=\"icon-plus-v\" height=\"8\" width=\"2\" y=\"1\" x=\"4\" \/>\n                        <rect class=\"icon-plus-h\" height=\"2\" width=\"8\" y=\"4\" x=\"1\" \/>\n                    <\/svg>\n                    Post-doctorat \u00ab\u00a0Apprentissage en robotique, avec application \u00e0 la saisie d\u2019objets\u00a0\u00bb                <\/button>\n            <\/h2>\n            <div class=\"c-collapsible__content o-content\">\n                <div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><strong>Post-doc : \u00ab\u00a0Apprentissage en robotique, avec application \u00e0 la saisie d\u2019objets\u00a0\u00bb<\/strong><\/p>\n<p><strong>Contexte :<\/strong><\/p>\n<p>Dans le cadre du projet FET Proactive DREAM (http:\/\/dream.isir.upmc.fr\/), une approche de la robotique adaptative bas\u00e9e sur l&rsquo;apprentissage ouvert a \u00e9t\u00e9 d\u00e9finie. L&rsquo;objectif principal est de permettre \u00e0 un robot d&rsquo;apprendre sans n\u00e9cessiter une pr\u00e9paration minutieuse par un expert. Cette approche soul\u00e8ve de nombreux d\u00e9fis, notamment l&rsquo;apprentissage avec des r\u00e9compenses rares, l&rsquo;apprentissage de repr\u00e9sentations (pour les \u00e9tats et les actions), l&rsquo;apprentissage et l&rsquo;exploitation de mod\u00e8les, le transfert d\u2019apprentissage, le m\u00e9ta apprentissage et la g\u00e9n\u00e9ralisation. Ces sujets sont consid\u00e9r\u00e9s en simulation, mais aussi sur des plateformes robotiques r\u00e9elles, notamment dans le contexte de la saisie d\u2019objets.<\/p>\n<p><strong>Missions<\/strong> :<\/p>\n<p>Ce poste vise \u00e0 contribuer \u00e0 ces sujets dans le cadre de plusieurs projets europ\u00e9ens, en particulier SoftManBot, Corsmal, INDEX et Learn2Grasp. S&rsquo;appuyant sur les travaux ant\u00e9rieurs de l&rsquo;\u00e9quipe de recherche, les approches propos\u00e9es devront \u00eatre facilement adaptables \u00e0 diff\u00e9rentes plateformes robotiques et seront donc appliqu\u00e9es \u00e0 diff\u00e9rents robots (bras Panda de Franka-Emika, Baxter, PR2 ou TIAGO, par exemple).<\/p>\n<p><strong>Profil recherch\u00e9 :<\/strong><\/p>\n<p>Les candidats \u00e0 ce poste doivent \u00eatre titulaires d&rsquo;un doctorat en apprentissage machine ou dans un domaine connexe dans lequel des applications robotiques (simul\u00e9es ou r\u00e9elles) ont \u00e9t\u00e9 consid\u00e9r\u00e9es.<\/p>\n<p><strong>Comp\u00e9tences requises :<\/strong><\/p>\n<p>Une excellente formation est attendue en apprentissage machine ainsi qu&rsquo;une exp\u00e9rience en robotique. D&rsquo;excellentes comp\u00e9tences en programmation en Python sont attendues.<\/p>\n<p><strong>Plus d&rsquo;informations :\u00a0<\/strong><\/p>\n<div>\n<ul>\n<li>Type de poste : Chercheuse \/ Chercheur post-doctoral<\/li>\n<li>Dur\u00e9e du contrat : 24 mois<\/li>\n<li>Niveau d\u2019\u00e9tudes souhait\u00e9 : Doctorat<\/li>\n<li>Montant r\u00e9mun\u00e9ration : R\u00e9mun\u00e9ration en fonction de l\u2019exp\u00e9rience<\/li>\n<li>Laboratoire d\u2019accueil : ISIR (Institut des Syst\u00e8mes Intelligents et de Robotique), Campus Pierre et Marie Curie, 4 place Jussieu, 75005 Paris.<\/li>\n<\/ul>\n<p><strong>Personne \u00e0 contacter :\u00a0<\/strong><\/p>\n<div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<ul>\n<li><a href=\"https:\/\/www.isir.upmc.fr\/personnel\/doncieux\/\" target=\"_blank\" rel=\"noopener\">St\u00e9phane Doncieux<\/a><\/li>\n<li>stephane.doncieux(at)sorbonne-universite.fr<\/li>\n<li>Envoyer votre candidature par mail, avec [nom de l\u2019offre] en objet, un CV et une lettre de motivation.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.isir.upmc.fr\/wp-content\/uploads\/2022\/07\/Apprentissage-en-robotique-avec-application-a-la-saisie-dobjet.pdf\" target=\"_blank\" rel=\"noopener\">T\u00e9l\u00e9charger l&rsquo;offre d&#8217;emploi<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n            <\/div>\n        <\/div>\n\n    <\/div>\n\n\n\n    <header class=\"\">\n                    <h2 class=\"c-headline\">Offres de th\u00e8se<\/h2>\n                                    <p>L&rsquo;ISIR est rattach\u00e9e aux \u00c9cole Doctorale : SMAER et EDITE.<\/p>\n<ul>\n<li><a href=\"https:\/\/adum.fr\/as\/ed\/proposition.pl?site=edsmaer\" target=\"_blank\" rel=\"noopener\">Offres de th\u00e8ses de l&rsquo;\u00c9cole Doctorale SMAER<\/a><\/li>\n<li><a href=\"https:\/\/edite-de-paris.fr\/index.php\/category\/offre-de-theses\/\" target=\"_blank\" rel=\"noopener\">Offres de th\u00e8ses de l&rsquo;\u00c9cole Doctorale EDITE<\/a><\/li>\n<\/ul>\n            <\/header>\n<div class=\"c-collapsibles\">\n    \n        <div class=\"toggle-section\">\n            <h2 class=\"c-collapsible__title\">\n                <button class=\"js-collapsible-button\">\n                    <svg aria-hidden=\"true\" focusable=\"false\" viewBox=\"0 0 10 10\">\n                        <rect class=\"icon-plus-v\" height=\"8\" width=\"2\" y=\"1\" x=\"4\" \/>\n                        <rect class=\"icon-plus-h\" height=\"2\" width=\"8\" y=\"4\" x=\"1\" \/>\n                    <\/svg>\n                    Learning Generative World Models of Physical Dynamics                <\/button>\n            <\/h2>\n            <div class=\"c-collapsible__content o-content\">\n                <p><strong>Thesis topic:\u00a0Learning Generative World Models of Physical Dynamics<\/strong><\/p>\n<p><strong>Context<\/strong>:<\/p>\n<p>AI4Science is an emerging research field that investigates the potential of AI methods to advance scientific discovery, particularly through the modeling of complex natural phenomena. This fast- growing area holds the promise of transforming how research is conducted across a broad range of scientific domains. One especially promising application is in modeling complex dynamical systems that arise in fields such as climate science, earth science, biology, and fluid dynamics. A diversity of approaches is currently being developed, but this remains an emerging field with numerous open research challenges in both machine learning and domain-specific modeling.<\/p>\n<p>This PhD project aims to investigate the next generation of AI models for physical dynamics. The objective is to develop generative world models that learn structured representations of physical systems and can efficiently model, predict, and reason about their evolution. The research will focus on applications such as fluid mechanics and climate science while addressing fundamental questions at the intersection of machine learning and scientific computing.<\/p>\n<p><strong>Research Directions:<\/strong><\/p>\n<p>The main objective of this PhD is to develop generative world models for physical dynamics that combine scalability, uncertainty modeling, and scientific consistency.<\/p>\n<p>The research will explore several complementary directions:<\/p>\n<p><strong>&#8211; Learning transferable representations of physical dynamics<\/strong>, by developing latent representations that capture the underlying structure of physical systems and can generalize across multiple physical regimes and downstream tasks.<\/p>\n<p><strong>&#8211; Generative modeling of physical trajectories<\/strong>, using recent approaches such as diffusion models, flow matching, and stochastic interpolants to represent uncertainty, multimodality, and long- term evolution of complex dynamical systems.<\/p>\n<p><strong>&#8211; Physically consistent generative models<\/strong>, by integrating physical constraints and scientific priors into generative learning in order to produce solutions that remain both accurate and scientifically valid.<\/p>\n<p>The exact research direction will be adapted to the candidate&rsquo;s interests and background and may emphasize either methodological developments or applications to scientific domains such as fluid dynamics and climate modeling.<\/p>\n<p><em>Position and Working Environment<\/em><\/p>\n<p>The PhD studentship is a three years position starting in October\/ November 2026. It does not include teaching obligation, but it is possible to engage if desired. The PhD candidate will work at Sorbonne Universit\u00e9 (S.U.), in the center of Paris. He\/She will integrate the MLIA team (Machine Learning and Deep Learning for Information Access) at ISIR (Institut des Syst\u00e8mes Intelligents et de Robotique).<\/p>\n<p><strong>Required Profile:<\/strong><\/p>\n<p>Master degree in computer science or applied mathematics, Engineering school. Background and experience in machine learning. Good technical skills in programming.<\/p>\n<p><strong>General information:<br \/>\n<\/strong>&#8211; Supervisor: Patrick Gallinari<br \/>\n&#8211; Collaboration as part of the PhD thesis: INRIA Paris, Institut d&rsquo;Alembert Sorbonne Universit\u00e9<br \/>\n&#8211; Start date: November\/ December 2026<br \/>\n&#8211; Note: The research topic is open and depending on the candidate profile could be oriented more on the theory or on the application side<br \/>\n&#8211; Host laboratory: ISIR (Institute of Intelligent Systems and Robotics), Pierre and Marie Curie Campus, 4 Place Jussieu, 75005 Paris.<br \/>\n&#8211; Keywords: AI4Science, deep learning, physics-aware deep learning, world models, generative models, foundation models<\/p>\n<p><strong>Application:<br \/>\n<\/strong>&#8211; Contact person: Patrick Gallinari<br \/>\n&#8211; Email: patrick.gallinari@sorbonne-universite.fr<br \/>\n&#8211; Please send a cv, motivation letter, grades obtained in master, recommendation letters when possible to patrick.gallinari@sorbonne-universite.fr<br \/>\n&#8211; Application deadline: 20\/12\/2026<\/p>\n<p><a href=\"https:\/\/www.isir.upmc.fr\/wp-content\/uploads\/2026\/07\/Learning-Generative-World-Models-of-Physical-Dynamics.pdf\" target=\"_blank\" rel=\"noopener\">Download this thesis offer<\/a><\/p>\n            <\/div>\n        <\/div>\n\n    <\/div>\n\n\n\n    <header class=\"\">\n                    <h2 class=\"c-headline\">Offres de stage<\/h2>\n                            <\/header>\n<div class=\"c-collapsibles\">\n    \n        <div class=\"toggle-section\">\n            <h2 class=\"c-collapsible__title\">\n                <button class=\"js-collapsible-button\">\n                    <svg aria-hidden=\"true\" focusable=\"false\" viewBox=\"0 0 10 10\">\n                        <rect class=\"icon-plus-v\" height=\"8\" width=\"2\" y=\"1\" x=\"4\" \/>\n                        <rect class=\"icon-plus-h\" height=\"2\" width=\"8\" y=\"4\" x=\"1\" \/>\n                    <\/svg>\n                    Navigation r\u00e9siliente sur terrains pr\u00e9caires avec un Ballbot                <\/button>\n            <\/h2>\n            <div class=\"c-collapsible__content o-content\">\n                <p><strong>Sujet de stage :\u00a0Navigation r\u00e9siliente sur terrains pr\u00e9caires avec un Ballbot<\/strong><\/p>\n<p><strong>R\u00e9sum\u00e9 :<\/strong><\/p>\n<p>Cette proposition de stage d\u00e9crit un projet de recherche visant \u00e0 doter un ballbot de la capacit\u00e9 de surmonter les obstacles qu\u2019il pourrait rencontrer lors de sa navigation. L\u2019objectif de ce travail est de d\u00e9finir les actions de contr\u00f4le optimales pour franchir un obstacle fixe au sol, en tenant compte de la vitesse du robot, de l\u2019angle d\u2019approche du robot par rapport \u00e0 l\u2019objet, et des variations d\u2019inertie du robot (par exemple via le mouvement des bras).<\/p>\n<p>La m\u00e9thodologie propos\u00e9e implique une analyse pr\u00e9liminaire des paires action-senseur optimales en mesurant la distance par rapport \u00e0 l\u2019\u00e9quilibre, l\u2019acc\u00e9l\u00e9ration des moteurs au niveau de la base, tout en r\u00e9alisant plusieurs simulations\/exp\u00e9riences \u00e0 diff\u00e9rentes vitesses, angles d\u2019approche et variations d\u2019inertie. Une fonction de r\u00e9compense ad hoc sera mise en \u0153uvre afin d\u2019\u00e9valuer les paires action-senseur optimales.<\/p>\n<p>Les r\u00e9sultats attendus incluent l\u2019identification d\u2019une s\u00e9rie de conditions permettant la r\u00e9ussite des man\u0153uvres.<\/p>\n<p><strong>Objectifs du stage :<\/strong><\/p>\n<p>Les principaux objectifs de ce stage pourraient \u00eatre de r\u00e9aliser un ensemble de simulations\/exp\u00e9riences afin d\u2019\u00e9valuer : 1) les mesures pertinentes pour le probl\u00e8me, 2) les actions de contr\u00f4le \u00e0 entreprendre, 3) la fonction de r\u00e9compense permettant de v\u00e9rifier qu\u2019un obstacle a \u00e9t\u00e9 franchi.<\/p>\n<p><strong>Profil recherch\u00e9<\/strong> : \u00c9tudiants en master (M2)<\/p>\n<p><strong>Comp\u00e9tences requises<\/strong> : Th\u00e9orie du contr\u00f4le, Robotique, Programmation (Python, C++, ROS 2, Matlab\/Simulink)<\/p>\n<p><strong>Informations g\u00e9n\u00e9rales :<\/strong><\/p>\n<p>&#8211; Encadrant\u00b7e\u00b7s : Dr. Dario Sanalitro, Prof. Guillaume Morel<\/p>\n<p>&#8211; Date de d\u00e9but du stage : Mars 2026<\/p>\n<p>&#8211; Dur\u00e9e du stage : 6 mois<\/p>\n<p>&#8211; Niveau d\u2019\u00e9tudes souhait\u00e9 : Master 2 en Informatique, automatique, m\u00e9catronique, electronique, robotique ou domaines apparent\u00e9s<\/p>\n<p>&#8211; Laboratoire d\u2019accueil : ISIR (Institut des Syst\u00e8mes Intelligents et de Robotique), Campus Pierre et Marie Curie, 4 place Jussieu, 75005 Paris.<\/p>\n<p><strong>Personne \u00e0 contacter :<\/strong><\/p>\n<p>&#8211; Dario SANALITRO ; sanalitro@isir.upmc.fr<\/p>\n<p>&#8211; Envoyer votre candidature par mail, avec [sujet du stage] en objet, un CV et une lettre de motivation.<\/p>\n<p><strong>&#8211; Il n\u2019y a pas de poste de stage ouvert \u00e0 ce jour ; les opportunit\u00e9s sont \u00e9tudi\u00e9es au cas par cas selon les profils des candidats.<\/strong><\/p>\n<p><a href=\"https:\/\/www.isir.upmc.fr\/wp-content\/uploads\/2026\/01\/stage-Navigation-resiliente-sur-terrains-precaires-avec-un-Ballbot.pdf\" target=\"_blank\" rel=\"noopener\">T\u00e9l\u00e9charger l&rsquo;offre de stage<\/a><\/p>\n            <\/div>\n        <\/div>\n\n    <\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":11301,"parent":2002,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2530","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/2530","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/comments?post=2530"}],"version-history":[{"count":1033,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/2530\/revisions"}],"predecessor-version":[{"id":12815,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/2530\/revisions\/12815"}],"up":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/2002"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/media\/11301"}],"wp:attachment":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/media?parent=2530"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}