PhD Programme in Engineering and Information Technology for Structural and Environmental Monitoring and Risk Management – EIT4SEMM - Academic Year 2021/2022 - Alma Mater Studiorum - Università di Bologna

The primary objective of the PhD Programme is to acquire the necessary skills to carry out highly qualified research activities in the field of structural and environmental monitoring and management. This requires i) knowledge on civil, chemical, material and environmental engineering to understand models as well as their evolutionary key indicators and also ii) knowledge of the key enabling technologies offered by the information engineering, with in particular the new paradigms for the implementation of systems based on sensors miniaturization, wireless connectivity and Web of Things. Candidates from civil and environmental engineering will receive specific training on information engineering as detailed in ii) and vice versa those candidates coming from the fields of information engineering will receive main training on point i), with the objective of promoting a multidisciplinary competence to the PhD candidates as well as to improve the development of their soft skills.

Research fields:

• Physical models (analytical and numerical), system identification
• Structural mechanics
• Fluid mechanics, hydrology and soil mechanics
• Geomatics and autoID
• Process safety and loss prevention
• Remote sensing and earth observation systems
• Climate change monitoring and control
• Positioning systems
• Sensors and actuators, interoperability and dependability
• Communication and sensor networks, Internet of Things, Web of Things
• Energy harvesting and power management
• ICT techniques for energy efficiency in buildings and cities
• Nondestructive tests, methods and technologies
• Signal and image processing, computer vision
• HW/SW design of embedded systems
• Machine learning applied to structural and environmental monitoring
• Advanced information processing methodologies, wearable computing, high performance computing
• Information management, big data, crowd sensing, data availability, data privacy and security
• Data modeling, data analysis/uncertainty, learning and cognitive analytics, prediction, decision support
• Domain specific platforms and services
• Modeling and simulation methodologies and tools for complex systems
• Safety, risk analysis and management
• Resilience and resilience engineering
• Logistics (in ordinary and extraordinary conditions)
• Optimization schemes/strategies
• Reliable systems design and project based learning
• Environmental multi-source pollution and control
• Sea pollution control and coastal management
• Emergency management and communication
• Circular economy and circular resource management.