[DL] PhD grant on Causality in AI & Deep Learning

[Ghidini Chiara]

Subject: PhD grant on Causality in AI & Deep Learning
Deadline: 11/07

One PhD grant on Causality in AI & Deep Learning is offered by the Process & Data Intelligence research unit at Fondazione Bruno Kessler, Trento, Italy.

For more info, the call, and applications look at: https://www.unibz.it/en/faculties/engineering/phd-computer-science/

We are looking for PhD students which are interested in exploring causality aspects of Deep learning and Artificial Intelligence.
This is a very trending topic in the Computer Science and Deep Learning community and impacts several research areas: explainable AI, recommender systems, formal logic, generative AI, automated learning, etc. Examples of aspects to be investigated are:

- Deep Learning and predictive methods applied to temporal data
- Causality aspects of learning policies and their evaluation
- Knowledge Representation and Linear Time Temporal Logic

This topic is particularly interesting because it can benefit from expertises coming from different disciplines: computer science, physics, mathematics, neurobiology. Therefore students with a strong scientific background in one (or more) of these subjects are encouraged to apply.
Moreover, the research performed through this scholarship can range from abstract and foundational research to very applied one and therefore the topic can adapt to the candidate's natural inclination and preferences.

The Process & Data Intelligence research unit (http://pdi.fbk.eu<http://pdi.fbk.eu/>) is an internationally well known research group focused on the interplay between logic-based and data driven representations of knowledge, with particular emphasis on Process-aware systems. The PhD will be conducted under the supervision of Dr. Massimiliano Ronzani in collaboration with Prof. Chiara Ghidini from the Free University of Bozen Bolzano.

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Chiara Ghidini
Full Professor, Faculty of Engineering, UNIBZ
chiara.ghidini at unibz.it



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