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We have 256 Other PhD Research Projects for Self-funded Students

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Other PhD Research Projects for Self-funded Students

We have 256 Other PhD Research Projects for Self-funded Students

Semantic random-access technology for future wireless ecosystems

This PhD project will research into new technical innovations that can embrace today’s machine learning advances into a process of designing and managing wireless communications for emergent AI agents, where they will mimic human ability to effectively learn, fine-tune and adapt skills of conveying semantic information. Read more

Peer-sourcing AI agents for future network autonomy

All connected services across emergent edge-computing devices will run directly or indirectly from the future 6G wireless ecosystems (e.g., unmanned automotive/ship, digital twins, extended reality, etc.) In 2025, the 5G will cover more than 50% of total wireless media revenue and this grows up to about 80% in 2028. Read more

Generative AI in 6G and beyond networks

As the world anticipates the rollout of 6G networks, there's a growing need to explore innovative technologies that can empower these networks to meet the evolving demands of connectivity. Read more

Developing a framework for regulatory conformance of innovative experimental nuclear reactor

Molten Salt Reactors (MSRs) are a next-generation nuclear reactor technology outlined by Generation IV International Forum, fulfilling sustainability, economics, safety, and proliferation resistance goals. Read more

AI-Driven Automotive Engineering Design

The intersection of Generative Artificial Intelligence (AI) and engineering design presents a promising avenue for innovation and efficiency in various industries. Read more

Novel interphases for ceramic composites: a high-throughput approach

The Department of Materials at Imperial College London, as part of the new CDT in Materials 4.0, is looking for a candidate to undertake a PhD project in the field of Ceramic Matrix Composites for the next generation of aero-engines and fusion reactors. Read more

Leveraging Statistical and Machine Learning Approaches for Engineering Design under Uncertainties

Are you passionate about pushing the boundaries of engineering design and addressing real-world challenges? Embark on this exciting journey to develop novel statistical and machine learning methods to enhance engineering design in the presence of uncertainties, and contribute to shaping the future of computational engineering design. Read more

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