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Results for "computer science"

10 opportunities found

Human-in-the-Loop AI for Equitable and Climate-Resilient Sewer Systems
AGH University of Science and Technology Dr Jawad Fayaz Deadline: 24 Apr 2026

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 learning…

This research addresses critical gaps in managing urban sewer infrastructure under climate uncertainty, explicitly incorporating social equ…

Physics-Informed Machine Learning Reinforcement Learning Climate Resilience Urban Sewer Systems
Northeastern University London Fully Funded PhD Scholarship in Computer Science: Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems
Northeastern University London Prof Bipin Rajendran, Dr Christos Efstratiou πŸŽ“ Artificial Intelligence πŸŽ“ Computer Science Deadline: 01 Apr 2026

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, emergin…

Northeastern University London Fully Funded PhD Scholarship in Computer Science: Reliable What-If Analysis of Intelligent Networks
Northeastern University London Prof Osvaldo Simeone, Dr Huiling Zhu πŸŽ“ Artificial Intelligence πŸŽ“ Computer Science Deadline: 01 Apr 2026

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 to…

PhD Programmes at the Free University of Bozen-Bolzano
Free University of Bozen-Bolzano πŸŽ“ Agriculture πŸŽ“ Biotechnology

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.

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.