19 March 2026

Series of specialised online lectures for Doctoral Students

The Unite! Doctoral School is organising a series of specialised online lectures focusing on recent advances and research trends in three priority areas: artificial intelligence, energy, and Industry 4.0. Registration for these sessions, led by experts from Unite! partner universities, remains open until the end of March.

What was recently regarded as the realm of futuristic speculation has now become an integral part of the research and technological landscape. In response to these contemporary challenges, the Unite! Doctoral School organises a series of online lectures focusing on artificial intelligence, energy, and Industry 4.0.

Artificial Intelligence

This module, dedicated to the latest trends in AI, explores the internal mechanics of modern systems: from optimisation and advanced reasoning methods to error detection and machine learning under data-constrained conditions. It is designed for those seeking to understand AI beyond a purely functional, tool-based level. Key topics include combinatorial optimisation and the shift from intuitive methods to precise models based on variable relationship analysis, as well as learning protocols for limited datasets.  

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Energy

This offering is intended for those who wish to understand the energy transition not merely as a concept, but as a tangible and complex engineering process. The lectures provide an overview of key low-emission solutions—such as solar and wind energy, hydrogen, energy storage, and nuclear power—with a focus on their integration into complex systems. Participants will also examine the role of system flexibility, infrastructural constraints, and socio-economic drivers. Furthermore, the program covers cryogenic technologies utilized in future energy systems and the challenges facing global energy supply chains, specifically within the context of Arctic regions. 

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Industry 4.0

The Industry module focuses on the practical dimensions of Industry 4.0 and modern manufacturing systems. The curriculum includes topics related to additive manufacturing –ranging from novel processes and materials to applications in high-demand sectors such as aviation and aerospace. Participants will explore real-world implementations of Industry 4.0 solutions, including the use of advanced data and signal analysis for machine condition monitoring and fault detection. A core component of the course is AI-based decision support systems used in production planning, inventory management, and supply chain coordination. 

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