These scholarships, co-funded by the ANR project Data Intensive Artificial Intelligence (DIAI), will support 12 PhD students (8 starting in 2021, and 4 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 information relevant for STEP’UP is the following:
- deadline su submit proposed topics : April 16th, 2021
- to submit proposal, following ED procedures, email to all 3 addresses below:
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).