[PlanetKR] CALL FOR APPLICATIONS FOR ADMISSION TO THE NATIONAL PHD PROGRAM IN ARTIFICIAL INTELLIGENCE AT SAPIENZA UNIVERSITY OF ROME (deadline July 10, 2024)

[Maurizio Lenzerini]

The National PhD Program in Artificial Intelligence at Sapienza 
University of Rome is looking for 48 new PhD students to work in all 
fundamental aspects of Artificial Intelligence and in various 
application areas. The deadline for the application is July 10, 2024.

The National PhD Program in Artificial Intelligence was launched in 2021 
to form a federation of PhD programs with the goal of building a 
world-class PhD program  with cooperation at the national and the 
international level, mobility, and multi-disciplinarity as key factors.

The PhD students joining the program will benefit from the possibility 
to carry out fully-funded, curiosity-driven research with high-quality 
supervision from experienced researchers, exciting environment with 
experts both in fundamental AI as well as several application areas, 
support for international mobility, links to top international research 
labs, and the possibility to attend summer schools, research seminars, 
workshops and networking events.

The following is an incomplete list of topics which can be addressed by 
the prospective PhD students:

- Creation and Evaluation of Semantically-enhanced Large Multimodal Models
- Localization in spatial environments for quadrupedal/bipedal robots
- Deductive and inductive reasoning in knowledge graphs
- Physics-informed spectral and topological graph neural networks
- The use of Large Language Models in Geophysics
- Data-centric high quality Artificial Intelligence systems
- Next-generation Italian and Multilingual Large Language Models and 
their evaluation
- AI and Digital Sustainability
- AI-enabled robots to mimic consumer habits in home care applications
- Predictive analytics for retail
- Advanced Large Language Model Applications and Robotics
- Generative AI for process mining
- Brain-based implementation of Grounded World Models
- Novel techniques of neuro-symbolic reasoning with frame-based 
knowledge graphs
- Advancing Personalized Medicine through Innovative Molecular Analysis 
and Machine Learning
- Neuro-symbolic Reinforcement Learning for Automated Temporal Planning
- Learning of guidance for temporal planning with resources
- Interacting in Complex Environments through Large Multimodal Models
- AI-based understanding of engineering diagrams
- Automated Deduction for Fault Propagation Graphs
- Contract-Based Reasoning for Distributed Temporal Networks with 
Uncertainty
- Security and Safety of Artificial Intelligence Systems with 
Multi-Modal Large Language Models
- High quality AI systems
⁠- Knowledge representation and Reasoning for Green-aware AI
- Semantic approaches to the privacy-preserving access to data and knowledge
- Verification techniques for Deep Reinforcement Learning
- Logic foundation of neuro-symbolic reasoning
- Runtime verification  (monitoring) and machine learning
- AI for data and process mining, management and processing
- AI-based solutions for product classification
- Advanced AI Techniques for Anomaly Detection
- Artificial Intelligence for Smart mobility
- Neural Networks and Sensors Data fusion
- Robust Machine Learning for Web Application Vulnerability Detection
- Robust Machine Learning against Adversarial and Out-of-Distribution Drift
- Learning e Generative AI for Planning and Natural Language Processing
- Intelligent support to learning and teaching


The interested prospective PhD student are invited to access:

- The official call for admission at

https://www.uniroma1.it/sites/default/files/field_file_allegati/din_call_for_applications_40th_cycle_-_english_version.pdf

- The instruction for submitting the application at:

https://www.uniroma1.it/sites/default/files/field_file_allegati/eng_applicationssubmitiontutorial_40_cycle_2024_2025.pdf