{"id":105,"date":"2025-05-12T15:06:28","date_gmt":"2025-05-12T13:06:28","guid":{"rendered":"https:\/\/project.inria.fr\/mlsim2026\/?page_id=105"},"modified":"2025-10-31T12:09:23","modified_gmt":"2025-10-31T11:09:23","slug":"internships","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/mlsim2026\/internships\/","title":{"rendered":"Internships"},"content":{"rendered":"\n<p>The thematic semester funds a set of five Master 2 internships in 2026. The selected projects and hosting teams are listed below. For any information, please email to <a href=\"mailto:mlsim2026-contact@inria.fr\">mlsim2026-contact@inria.fr<\/a> or directly to the corresponding supervisors.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Leveraging scientific machine learning to decode the molecular response of plants exposed to multiple stresses<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Labs:<\/strong> Institut Sophia Agrobiotech &#8211; Inria Acumes team<\/li>\n\n\n\n<li><strong>Detailed topic:<\/strong> <a href=\"https:\/\/project.inria.fr\/mlsim2026\/files\/2025\/10\/stage_Bottini_Duvigneau.pdf\">link<\/a><\/li>\n\n\n\n<li><strong>Supervisors: <\/strong><a href=\"mailto:silvia.bottini@inrae.fr\">Silvia Bottini<\/a> &amp; <a href=\"mailto:regis.duvigneau@inria.fr\">R\u00e9gis Duvigneau<\/a><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Improving leaf vein segmentation by simulating biological constraints<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Labs:<\/strong> Inria Iroko team &#8211; AMAP Syste team<\/li>\n\n\n\n<li><strong>Detailed topic:<\/strong> link (<a href=\"https:\/\/project.inria.fr\/mlsim2026\/files\/2025\/10\/Fiche_de_poste_stage_M2_v2_eng.pdf\">english<\/a> &#8211; <a href=\"https:\/\/project.inria.fr\/mlsim2026\/files\/2025\/10\/Fiche_de_poste_stage_M2_v2_fr.pdf\">french<\/a>)<\/li>\n\n\n\n<li><strong>Supervisors: <\/strong><a href=\"mailto:benjamin.bourel@inria.fr\">Benjamin Bourel<\/a> &amp; <a href=\"mailto:jerome.munzinger@ird.fr\">J\u00e9r\u00f4me Munzinger<\/a><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Prediction of water distribution networkflow : a graph-based time-series analysis<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Labs:<\/strong> LJAD &#8211; Eau d&#8217;Azur<\/li>\n\n\n\n<li><strong>Detailed topic:<\/strong> <a href=\"https:\/\/project.inria.fr\/mlsim2026\/files\/2025\/10\/stage_Catellier_Laguel_Maupetit.pdf\">link<\/a><\/li>\n\n\n\n<li><strong>Supervisors:<\/strong> <a href=\"mailto:remi.catellier@univ-cotedazur.fr\">R\u00e9mi Catellier<\/a>, <a href=\"mailto:yassine.laguel@univ-cotedazur.fr\">Yassine Laguel<\/a> &amp; Agathe Maupetit<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Machine learning for the control of collective dynamics in particle-laden flows<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Labs:<\/strong> Inria Callisto team &#8211; InPhyNi<\/li>\n\n\n\n<li><strong>Detailed topic:<\/strong> <a href=\"https:\/\/project.inria.fr\/mlsim2026\/files\/2025\/10\/stage_Giraldi_Brouzet_Henry.pdf\">link<\/a><\/li>\n\n\n\n<li><strong>Supervisors:<\/strong> <a href=\"mailto:laetitia.giraldi@inria.fr\">Laetitia Giraldi<\/a>, <a href=\"mailto:Christophe.BROUZET@univ-cotedazur.fr\">Christophe Brouzet<\/a> &amp; <a href=\"mailto:christophe.henry@inria.fr\">Christophe Henry<\/a><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Machine learning of drilling data for the definition of typical lithostratigraphic soil columns towards a 3D soil model of the city of Aix-en-Provence<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Labs:<\/strong> CEREMA\/GeoAzur &#8211; Inria Acumes team<\/li>\n\n\n\n<li><strong>Detailed topic:<\/strong> <a href=\"https:\/\/project.inria.fr\/mlsim2026\/files\/2025\/10\/stage_Regnier_Binois.pdf\">link<\/a><\/li>\n\n\n\n<li><strong>Supervisors:<\/strong> <a href=\"mailto:julie.regnier@cerema.fr\">Julie Regnier<\/a> &amp; <a href=\"mailto:mickael.binois@inria.fr\">Micka\u00ebl Binois<\/a><\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The thematic semester funds a set of five Master 2 internships in 2026. The selected projects and hosting teams are listed below. For any information, please email to mlsim2026-contact@inria.fr or directly to the corresponding supervisors. Leveraging scientific machine learning to decode the molecular response of plants exposed to multiple stresses\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/mlsim2026\/internships\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":2374,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-105","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/pages\/105","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/users\/2374"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/comments?post=105"}],"version-history":[{"count":25,"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/pages\/105\/revisions"}],"predecessor-version":[{"id":203,"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/pages\/105\/revisions\/203"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/mlsim2026\/wp-json\/wp\/v2\/media?parent=105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}