PhD Scholarships

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 starting in 2021, and 6 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. 

Find out more about the selected projects for 2021 here.