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Results for "computer science"

18 opportunities found

Channel-Aware Over-the-Air Post-Quantum Cryptography for 6G Wireless Networks
University of Surrey Mahtab Mirmohseni, Liqun Chen πŸŽ“ Communications Engineering πŸŽ“ Computer Science Deadline: 20 Apr 2026

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.

Improving Defect Detection Reliability in Ultrasonic Testing through Artificial Intelligence
University of Strathclyde Dr Ehsan Mohseni, Dr Randika Vithanage πŸŽ“ Acoustics πŸŽ“ Applied Mathematics

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 consi…

Redefining in-network computing for compute-native 6G networks
University of Southampton Dr Aristide Akem, Prof. Steve Gunn πŸŽ“ Artificial Intelligence πŸŽ“ Machine Learning Deadline: 01 Jul 2026

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-c…

Advancing Fusion Energy with AI- Developing Novel Compressed Representations for High-Dimensional Physics Data
The University of Manchester Dr Julia Handl, Prof J Robson πŸŽ“ Applied Statistics πŸŽ“ Artificial Intelligence Deadline: 10 Apr 2026

Fusion Energy, Tokamak, Machine Learning, Graph Neural Networks, High-Dimensional Data, Surrogate Modelling, Materials Science, Predictive Modelling, Dimensionality Reduction, Time-Series Analysis

2D-Transition Metal Dichalcogenide Nanoelectronic Devices for Neuromorphic Computing
University of Southampton Dr Ruomeng Huang πŸŽ“ Artificial Intelligence πŸŽ“ Electronic Engineering Deadline: 30 Apr 2026

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 characte…

Mitigating Synthesisability Loss in 3D Generative Models
University of Liverpool Dr Anthony Bradley, Dr Gabriella Pizzuto, Dr John Ward πŸŽ“ Artificial Intelligence πŸŽ“ Computational Chemistry Deadline: 30 Jun 2026

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.