Sofia AdamsUsing physics-informed neural networks and data assimilation to predict and improve urban air quality
Using physics-informed neural networks and data assimilation to predict and improve urban air quality
About the Project Supervisory Team: Sean Symon and Christina Vanderwel Project description The aim of this project is to use physics-informed neural networks (PINN’s) and data assimilation techniques to convert … Read More Read More
Categories:Mid-infrared Laser Amplifiers for Tomographic Imaging of Chemical Species in Gas Turbine Combustion and Green Aviation
Mid-infrared Laser Amplifiers for Tomographic Imaging of Chemical Species in Gas Turbine Combustion and Green Aviation
About the Project Supervisory Team: Prof Johan Nilsson, Prof Jayanta Sahu Project description University of Southampton is seeking a committed candidate for laser research towards green aviation and net-zero carbon … Read More Read More
Categories:Transporting surfactant-laden bubbles through vortices (TRAP)
Transporting surfactant-laden bubbles through vortices (TRAP)
About the Project Supervisory Team: Dr. Swathi Krishna and Dr. Ivo Peters Project description Are you concerned about the growing microplastic contamination in our water bodies? According to a 2015 … Read More Read More
Categories:Hollow core optical fibres and Radio Frequency signals
Hollow core optical fibres and Radio Frequency signals
About the Project Supervisory Team: Radan Slavik, Francesco Poletti, Meng Ding Project description At the Optoelectronics Research Centre, we are leading the world in developing a new generation of optical … Read More Read More
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Leo FolmontInvestigating the role of verified methods for enhancing trust in digital twins
Investigating the role of verified methods for enhancing trust in digital twins
About the Project The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out … Read More Read More
Categories:High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems
High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems
About the Project The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out … Read More Read More
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Brianna MolicHigh-fidelity CFD and data-driven modelling of aerodynamic noise sources
High-fidelity CFD and data-driven modelling of aerodynamic noise sources
About the Project Applications are invited for one funded 3.5-year PhD studentship for the project titled “High-fidelity CFD and data-driven modeling of aerodynamic noise sources” in the group of Dr … Read More Read More
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Zoey MartinezDevelopment of physics-constrained reduced order models of thermally driven flows
Development of physics-constrained reduced order models of thermally driven flows
About the Project Project description Thermally driven turbulent flows in engineering and geophysical systems, are highly dimensional, nonlinear, and multi-scale. The numerical simulation of such flows is extremely computationally expensive. … Read More Read More
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Peter OrtmannMulti-static Inverse Synthetic Aperture Radar imagery for recognition of space objects from space
Multi-static Inverse Synthetic Aperture Radar imagery for recognition of space objects from space
About the Project We invite applications from a highly motivated individual to join research to develop multi-functional space borne radar capability for ISAR imagery of space objects from space. The … Read More Read More
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Jeremy HuntSynchrotron X-ray inline monitoring of Laser Additive Manufacturing processes using a Machine Learning approach
Synchrotron X-ray inline monitoring of Laser Additive Manufacturing processes using a Machine Learning approach
About the Project Laser additive manufacturing (LAM; laser 3D printing) is a key underpinning technology for the digital revolution (Industry 4.0), producing complex objects directly from 3D CAD drawings. LAM … Read More Read More
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