5 machine-learning-phd uni jobs at Università degli Studi Roma Tre in Italy

Defining Artificial Intelligence and Machine Learning methods and techniques for Machine-aided design

the objectives defined within Working Group #1, namely Advanced Real-Time Modeling employed during the design and engineering phases using Artificial Intelligence and Machine learning methods and techniques, and

Efficient certifying algorithms for binary classification problems based on support vector machines

data points that cannot be linearly separated. More generally, an overarching goal would be to design, develop and implement efficient combinatorial certifying algorithms for classification and learning

Defining anomaly detection techniques for aerospace launchers using digital twin and artificial intelligence

#1 "Machine Aided Design." The research concerns the development of anomaly detection techniques based on digital twin and AI algorithms defined from data-bases related to the VEGA family of launchers

Development of acoustic load prediction models on aerospace launchers using AI techniques

"Artificial intelligence, virtual reality and digital twin for advanced engineering and aerospace" of the Rome Technopole project, Working Group #1 "Machine Aided Design." Requirements Additional Information

CYBERSECURITY IN CYBERSPACE: GOVERNANCE AND RIGHTS PROTECTION

to students, so that the skills they acquire are immediately translatable into job skills and the average quality of performance that the recent graduate is able to offer on the job market is raised