Ph.D. Position on Neuro-Symbolic Artificial Intelligence @Free University of Bozen-Bolzano

[ivan donadello]

 Project Description: Deep Neural Networks have revolutionized several areas of computer science, such as image and face recognition, event detection, machine translation, board games and the analysis of business processes. However, these techniques require large amounts of labelled data, have poor generalization performance from few examples and still lack of reasoning capabilities on complex data. By contrast, symbolic Artificial Intelligence is based on rich, high-level representations of the world that use human-readable symbols, that is, logical knowledge such as First Order Logic, Modal Logic, Temporal Logic. In this context, Neuro-Symbolic Artificial Intelligence, which stems from Neural Networks and symbolic Artificial Intelligence, tries to combine the strength of both paradigms, that is, reasoning with complex representations of knowledge (knowledge-bases, graphs, ontologies) with learning from complex data. Such complex data can be temporal data with a rich semantics such as the logs of a business process.

 

In this Ph.D. project, novel Neuro-Symbolic frameworks (Deep learning with Linear Temporal Logics) will be investigated for solving tasks of business process analysis, such as, the prediction of the next activities to perform that maximize the performance of a business process or the discovery of logical temporal knowledge from data.

 

Application deadline: by 15 June 2023, 12:00 midday (GTM +2:00)

More information: https://www.unibz.it/en/faculties/engineering/phd-computer-science/

Contact person: ivan.do...@unibz.it

The university: The Free University of Bozen-Bolzano has a strong international outlook, as testified by its multilingual courses (German, Italian and English) and the high number of students and teaching staff from abroad.
 
In national rankings, our university reaches top positions every year. In 2022, for the sixth consecutive year, the Italian research centre for social studies Censis has ranked our university as number one among smaller private universities (less than 5,000 students). We rank high in international rankings too, especially under the categories 'internationalisation', 'student satisfaction' and 'citations'.