Results for "computer science"
10 opportunities found
Develop AI-powered, human-in-the-loop decision frameworks to enhance climate resilience and equity in urban sewer systems under uncertainty. Integrate physics-informed models with preference-based reinforcement learningβ¦
This fully-funded PhD at NU London focuses on developing scalable, energy-efficient AI accelerators for IoT and networked systems through hardware-software co-design. The research combines AI model optimization, emerginβ¦
This fully-funded PhD at NU London develops statistically reliable frameworks for what-if analysis in intelligent networks. The research combines causal inference, conformal prediction, and agent-environment modeling toβ¦
The Free University of Bozen-Bolzano offers seven structured PhD programmes across multiple disciplines, supporting early-career researchers with funded opportunities and international research training.
This PhD explores efficient deployment of post-quantum cryptography in 6G wireless systems by integrating cryptographic processes with wireless channel properties to improve security, scalability, and energy efficiency.
This PhD project addresses the challenge of data interpretation in Phased Array Ultrasonic Testing (PAUT) by investigating how Artificial Intelligence (AI) and Machine Learning (ML) can improve the reliability and consiβ¦
Fully funded PhD at University of Southampton developing next-generation in-network computing for 6G networks. Focuses on programmable networking, distributed computing, and scalable low-latency architectures for edge-cβ¦
Fusion Energy, Tokamak, Machine Learning, Graph Neural Networks, High-Dimensional Data, Surrogate Modelling, Materials Science, Predictive Modelling, Dimensionality Reduction, Time-Series Analysis
This EPSRC-funded PhD will explore 2D transition metal dichalcogenide (TMDC) nanoelectronic devices for energy-efficient neuromorphic computing, combining nanofabrication, device physics, and advanced materials characteβ¦
This PhD will combine 3D generative modelling, structural informatics, and chemical insight to tackle a central challenge in modern drug discovery, training researchers at the interface of AI, synthesis, and automation.