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🎓 Engineering PhDs

Characterisation of battery electrodes using microscopy and AI
Imperial College London Dr. Samuel J Cooper 🎓 Computer Science 🎓 Engineering

Explore battery electrode microstructures with cutting-edge microscopy and AI. Collaborate with industry and develop tools that improve battery performance analysis.

This research improves our understanding of battery electrode microstructures, crucial for optimizing battery performance, safety, and long…

5715+ citations · h38
Lithium-ion batteries Machine Learning Generative AI Tortuosity
Fully Funded PhD Engineering Scholarship at University of Cambridge
University of Cambridge Jason Olfert 🎓 Electrical Engineering 🎓 Engineering Deadline: 16 Oct 2026

Explore advanced engineering research at the University of Cambridge with full funding. Investigate critical topics across multiple divisions, including fluid mechanics and materials science. Contribute to innovations a…

This research addresses vital engineering challenges with broad societal and industrial relevance, from sustainable energy to advanced manu…

5633+ citations · h39
Aerosols
Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments
University of Sheffield Prof Amir Ghalamzan 🎓 Engineering 🎓 Mechatronics

Explore autonomous robotic manipulation using foundation models to improve decision-making under uncertainty. Engage with cutting-edge predictive control and world model methods for hazardous, unstructured environments.

This research advances autonomous robotic capabilities for safe and robust operation in extreme environments like fusion and nuclear plants…

1342+ citations · h22
Robotics Robotic Manipulation data-driven control foundational models
Sports Acoustics: Impact Sound Analysis in Cricket, Golf, Baseball and Tennis
University of Southampton Dr. Giacomo Squicciarini 🎓 Acoustics 🎓 Engineering

Explore how the sounds of ball impacts reveal shot quality in four major sports. Analyze acoustic signals combined with physics models and machine learning to create new performance metrics. Gain experience with Hawk-Ey…

This research unravels the acoustic signatures behind elite athletes' intuitive judgements, providing a scientific basis to a traditionally…

1613+ citations · h23
Noise and vibration railway noise acoustics
Multi-Scale Computational Framework for Charge Transport and Thermoelectric Properties in Self-Assembled Monolayer Molecular Junctions
Maynooth University Prof. Pierre Cazade 🎓 Biochemistry 🎓 Chemistry Deadline: 01 May 2026

Develop models to predict charge transport and thermoelectric behavior in molecular junctions. Explore nanoscale thermoelectrics for waste heat recovery. Collaborate internationally to bridge molecular design and device…

This research aims to enable rational design of molecular electronic devices, improving nanoscale energy harvesting technologies such as mo…

Charge Transport Thermoelectric Properties Molecular Junctions Self-Assembled Monolayers
Synergistic acoustic-electrostatic-inertial separation of microplastics from blood: concept and development
Monash University Malaysia Dr Ajay Achath Mohanan 🎓 Biomedical Engineering 🎓 Engineering

Investigate novel separation techniques combining acoustic, electrostatic, and inertial forces to remove microplastics from blood. Develop innovative biomedical devices with potential clinical applications to reduce hea…

This research aims to develop clinically applicable devices to separate microplastics from blood, potentially mitigating associated health …

154+ citations · h7
Microplastics Acoustic Separation Electrostatic Separation Microfluidics
Microwave Quantum Memories for Hybrid Quantum Systems
University College London Prof John JL Morton 🎓 Electronic Engineering 🎓 Engineering

Investigate and enhance microwave quantum memories by optimizing spin coherence and superconducting circuits. Develop technologies for storing and retrieving microwave photons to advance hybrid quantum computing.

Developing spin-based microwave quantum memories addresses the critical need for long-lived quantum information storage in hybrid quantum c…

16129+ citations · h58
Quantum information magnetic resonance
Prediction of forever chemical concentrations in real-world drinking water treatment systems
Cranfield University Dr Irene Carra 🎓 Chemistry 🎓 Engineering

Develop a predictive model to forecast PFAS behaviour in granular activated carbon filters, enabling water utilities to optimize treatment processes. Collaborate with leading water companies and EPSRC in a fully funded …

This research delivers tools to reduce operational costs and environmental impact in water treatment by optimizing PFAS removal. It support…

Per- and Polyfluoroalkyl Substances Granular Activated Carbon Water Treatment Environmental Chemistry
CyberDOME: Adaptive Moving Target Defense for Securing Critical Service in 6G Networks
Aston University Dr Sourav Saha, Prof Jose Alcaraz Calero 🎓 Computer Science 🎓 Digital Technologies Deadline: 01 Apr 2026

Fully funded PhD at Aston University focused on cutting-edge cyber security for 6G networks using AI-driven Moving Target Defense. Join a leading research group tackling real-world cyber threats and building next-genera…

The Semantic Segmentation-Based Recognition Phase Components within the UHPC under normal and high temperature: Theory, Methodology and Application
Xi’an Jiaotong-Liverpool University (XJTLU) – Design School Dr Jun Xia 🎓 Artificial Intelligence 🎓 Civil Engineering

This PhD develops an AI-driven semantic segmentation framework to identify phase components in UHPC materials, linking microscale imaging with multiscale modeling. The project investigates UHPC performance under normal …

Urban Building Cluster Morphology Optimization based on Accumulative Heat Exhaustion from Clustered Photovoltaic Systems on Urban Microclimate
Xi’an Jiaotong-Liverpool University (XJTLU) – Design School Dr Jelena M. Andrić 🎓 Architecture & Planning 🎓 Civil Engineering

This PhD investigates the heat exhaust from dense urban photovoltaic (PV) clusters and its effects on local microclimate, aiming to develop multi-scale simulations to optimise building cluster morphology for thermal com…

Data-driven polarimetric shape sensing of composite laminates
Aston University Dr S Sergeyev 🎓 Data Analysis 🎓 Data Science Deadline: 15 Apr 2026

This PhD develops an AI-driven polarimetric dual optical frequency comb (DOFC) technique for high-resolution shape sensing and defect detection in composite laminates used in aerospace and renewable energy applications.…