Data Intelligence Institute of Paris (diiP)
PhD Scholarships on Data Intensive Artificial Intelligence
Presentation of the DIAI project
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 novel methods that 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).
Scope of scholarships
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 12 PhD students (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.
The doctoral schools (Ecoles Doctorales – ED) participating in the DIAI project and relevant to this call are the following:
– ED 127 (AAIF): application have already been received and the selection process already started.
– ED 130 (EDITE): topic proposal deadline April 12th ; full application deadline May 15th
to submit proposal, use this template, and email to: diai.ed130[at]listes.u-paris.fr
– ED 386: full application (topic+candidate) proposal deadline June 14th
for details, contact the ED at ufr-ed386[at]math.univ-paris-diderot.fr
– ED 560 (STEP’UP): topic proposal deadline May 9th, 12:00 (noon), full application to be submitted by May 30th for pre-selected candidates.
to submit proposal, follow ED procedures, email to all 3 addresses below:
edstepup_pu[at]univ-paris-diderot.fr
scol-ed[at]ipgp.fr
diai.ed560[at]listes.u-paris.fr
À lire aussi
Nikos Paragios – Seeing the Invisible – Doing the Impossible: Reinventing Healthcare with Generative AI-powered diagnosis, treatment and beyond
Nikos ParagiosDecember 04, 2024Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris) Nikos Paragios (52) is distinguished professor of Mathematics (on partial leave) at Ecole CentraleSupelec, the school of engineering ofthe University of Paris-Saclay and...
Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope
2022 PhD/ DIAI Projects @AstronomyParticle physics and graph neural networks Santiago PENA MARTINEZ Project Summary A new generation of neutrino experiments is in the horizon looking to explore many of the open questions on neutrino properties and searching for...
Alon Halevy – Well-being, AI, and You: Developing AI-based Technology for Well-being
Alon HalevyDecember 04, 2024Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris) Alon Halevy is a Distinguished Engineer in Google Cloud. From 2019 until November 2023, he was a director at Meta’s Reality Labs Research, where he worked on Personal Digital...
Shen Liang – Knowledge-guided Data Science
Shen LiangMay 18, 4 PM online (zoom) linkedinAbstract This tutorial presents an overview of knowledge-guided data science, a rising methodology in machine learning which fuses data with domain knowledge. We will present numerous case studies on this methodology...