{"id":898,"date":"2022-02-23T10:06:08","date_gmt":"2022-02-23T09:06:08","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=898"},"modified":"2024-10-01T09:43:30","modified_gmt":"2024-10-01T07:43:30","slug":"phd-scholarships-on-data-intensive-artificial-intelligence-diai-2022-campaign","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/phd-scholarships-on-data-intensive-artificial-intelligence-diai-2022-campaign\/","title":{"rendered":"PhD scholarships on Data Intensive Artificial Intelligence (DIAI) 2022 campaign"},"content":{"rendered":"

[et_pb_section bb_built=”1″ next_background_color=”#000000″ inner_width=”auto” inner_max_width=”none” _builder_version=”3.22.1″][et_pb_row][et_pb_column type=”3_4″][et_pb_text admin_label=”Intro” _builder_version=”3.22.1″ module_id=”intro” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ z_index_tablet=”500″]<\/p>\n

\n
\n
\n

Data Intelligence Institute of Paris (diiP)
PhD Scholarships on Data Intensive Artificial Intelligence<\/p>\n<\/div>\n<\/div>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.19.11″ module_id=”image-page-type” width=”80%” max_width=”1080px”][et_pb_column type=”3_4″][et_pb_image admin_label=”Image 1920 x 1080″ _builder_version=”3.22.1″ src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2021\/03\/artificial-intelligence-4550606_1920.jpg” module_id=”image-page” z_index_tablet=”500″ \/][\/et_pb_column][et_pb_column type=”1_4″][et_pb_text admin_label=”Texte image” _builder_version=”3.22.1″ module_id=”texte-image” custom_margin=”|-15px||” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ z_index_tablet=”500″ \/][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=”4_4″][et_pb_text admin_label=”l\u00e9gende” _builder_version=”3.22.1″ module_id=”legende” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ z_index_tablet=”500″ \/][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=”3_4″][et_pb_text _builder_version=”3.22.1″ module_id=”contenu” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ z_index_tablet=”500″]<\/p>\n

\n
\n
\n

Presentation of the DIAI project<\/h3>\n

Extracting knowledge from the data means that we need to perform analysis tasks that are becoming increasingly complex as the amount of data, the number of observed variables, and the levels of noise (e.g., when measuring weak signals) in the measurements grow. Therefore, we are in need of\u00a0novel methods<\/strong>\u00a0that can cope with the scale of data and complexity of tasks that we face across applications in different domains. In this context, we need to develop new techniques that will advance the state of the art in the areas of data analytics, data science, and data intelligence (including artificial intelligence, machine learning, deep learning).<\/p>\n

Scope of scholarships<\/h3>\n

These scholarships, which are proposed in the context of the 2019 Data Intensive Artificial Intelligence (DIAI) project that is co-funded by ANR, will support\u00a012 PhD students<\/strong> (6 started in 2021, and 6 will start in 2022), working on topics related to the intersection of data management\/data analytics and machine learning\/artificial intelligence, in order to address fundamental interdisciplinary challenges related to data analysis in modern science, industry, and society. Topic proposals should explain their relevance to the above dimensions<\/strong>.<\/p>\n

The doctoral schools (Ecoles Doctorales \u2013 ED) participating in the DIAI project and relevant to this call are the following:<\/p>\n

\u2013\u00a0ED 127 (AAIF)<\/strong>: application have already been received and the selection process already started.<\/p>\n

\u2013\u00a0ED 130 (EDITE)<\/strong>: topic proposal deadline April 12th <\/strong>; full application\u00a0deadline May 15th\u00a0<\/strong>
to submit proposal, use this template<\/a>, and email to: diai.ed130[at]listes.wordpress-test.app.u-pariscite.fr<\/p>\n

\u2013\u00a0ED 386<\/strong>: full application (topic+candidate) proposal\u00a0deadline June 14th<\/strong>
\u00a0\u00a0 for details, contact the ED at ufr-ed386[at]math.univ-paris-diderot.fr<\/p>\n

\u2013\u00a0ED 560 (STEP\u2019UP)<\/strong>: topic proposal\u00a0deadline May 9th, 12:00 (noon), <\/strong>full application to be submitted by May 30th <\/strong>for pre-selected candidates.
\u00a0\u00a0 to submit proposal, follow ED procedures, email to all 3 addresses below:
\u00a0 \u00a0edstepup_pu[at]univ-paris-diderot.fr
\u00a0 \u00a0scol-ed[at]ipgp.fr
\u00a0 \u00a0diai.ed560[at]listes.wordpress-test.app.u-pariscite.fr<\/p>\n<\/div>\n<\/div>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ specialty=”off” _builder_version=”3.21″ custom_padding=”0px||0px|” prev_background_color=”#000000″ inner_width=”auto” inner_max_width=”none”][et_pb_row _builder_version=”3.19.11″ width=”80%” max_width=”1080px”][et_pb_column type=”4_4″][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.21″]<\/p>\n

\u00c0<\/span> lire aussi<\/h2>\n

[\/et_pb_text][et_pb_blog _builder_version=”3.21″ posts_number=”4″ include_categories=”13″ show_author=”off” show_date=”off” show_pagination=”off” border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” module_id=”page_type_blog” header_level=”h4″ \/][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

<\/div>\n

Data Intelligence Institute of Paris (diiP)PhD Scholarships on Data Intensive Artificial Intelligence <\/p>\n

<\/div>\n
<\/div>\n

Presentation of the DIAI projectExtracting knowledge from the data means that we need to perform analysis tasks that are becoming increasingly complex as the amount of data, the number of observed variables, and the levels of noise (e.g., when measuring weak… Lire la suite PhD scholarships on Data Intensive Artificial Intelligence (DIAI) 2022 campaign<\/span><\/a><\/p>\n","protected":false},"author":152,"featured_media":484,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1,12,24],"tags":[],"class_list":["post-898","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-diip","category-news","category-phd-scholarships"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/898","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=898"}],"version-history":[{"count":6,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/898\/revisions"}],"predecessor-version":[{"id":935,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/898\/revisions\/935"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/484"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=898"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=898"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=898"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}