PhD Studentship: CFD modelling of seals for high-pressure, low-carbon storage technologies

About the projectAre you passionate about pushing the boundaries of engineering and accelerating decarbonization and the transition to a carbon neutral energy system through groundbreaking research? Join the Department of Mechanical Engineering's Thermofluids Group at the University of Sheffield for a PhD focused on the computational modelling of mechanical...

About the projectAre you passionate about pushing the boundaries of engineering and accelerating decarbonization and the transition to a carbon neutral energy system through groundbreaking research? Join the Department of Mechanical Engineering's Thermofluids Group at the University of Sheffield for a PhD focused on the computational modelling of mechanical...

We have a vacancy for an enthusiastic and self-motivated PhD student for a PhD project in the Leonardo Centre at the University of Sheffield funded by the John Crane Ltd.About the ProjectThe transition away from fossil fuels has been rapid. Increasingly our energy comes from renewable sources such as wind and solar. These sources are intermittent which means...

We have a vacancy for an enthusiastic and self-motivated PhD student for a PhD project in the Leonardo Centre at the University of Sheffield funded by the John Crane Ltd.About the ProjectThe transition away from fossil fuels has been rapid. Increasingly our energy comes from renewable sources such as wind and solar. These sources are intermittent which means...

Exciting EPSRC-Rate Funded PhD: Durability of Seals for High-Pressure H2 Generation, Storage & Use - Shape The Future Of Clean EnergyThe University of Sheffield's Leonardo Centre, a world-leader in tribology, is seeking an enthusiastic and self-motivated PhD student to join a collaborative project funded by John Crane Ltd, one of the world's leading...

Exciting EPSRC-Rate Funded PhD: Durability of Seals for High-Pressure H2 Generation, Storage & Use - Shape The Future Of Clean EnergyThe University of Sheffield's Leonardo Centre, a world-leader in tribology, is seeking an enthusiastic and self-motivated PhD student to join a collaborative project funded by John Crane Ltd, one of the world's leading...

A fully-funded PhD Studentship is available in the Department of Mechanical Engineering at the University of Sheffield to study turbulence in fusion technology using advanced computational fluid dynamics (CFD). The project is in collaboration with UKAEA and the Daresbury Laboratories at Science and Technology Facilities Council (STFC). Turbulence in the...

A fully-funded PhD Studentship is available in the Department of Mechanical Engineering at the University of Sheffield to study turbulence in fusion technology using advanced computational fluid dynamics (CFD). The project is in collaboration with UKAEA and the Daresbury Laboratories at Science and Technology Facilities Council (STFC). Turbulence in the...

Anti-ferromagnets are emerging as key materials for a variety of modern technologies across data storage, processing and more. Recent advances have demonstrated how they can be efficiently manipulated at high frequency but at this scale the interaction of the magnetisation with the atomic structure is important. This project will explore the complex dynamics...

Anti-ferromagnets are emerging as key materials for a variety of modern technologies across data storage, processing and more. Recent advances have demonstrated how they can be efficiently manipulated at high frequency but at this scale the interaction of the magnetisation with the atomic structure is important. This project will explore the complex dynamics...

Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However, challenges in data quality and compatibility persist, necessitating manual corrections that are both time-consuming and limit scalability. Despite the availability of...

Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However, challenges in data quality and compatibility persist, necessitating manual corrections that are both time-consuming and limit scalability. Despite the availability of...

Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However, challenges in data quality and compatibility persist, necessitating manual corrections that are both time-consuming and limit scalability. Despite the availability of...

This PhD project will use two secondary datasets and a series of experiments to explore how teams led by white women and ethnic minorities manage status related conflict in newly formed teams. The project will draw on Expectation States Theory which highlights how individuals in newly formed performance-oriented groups are likely to be granted high and low...

This PhD project will use two secondary datasets and a series of experiments to explore how teams led by white women and ethnic minorities manage status related conflict in newly formed teams. The project will draw on Expectation States Theory which highlights how individuals in newly formed performance-oriented groups are likely to be granted high and low...

This PhD project will use two secondary datasets and a series of experiments to explore how teams led by white women and ethnic minorities manage status related conflict in newly formed teams. The project will draw on Expectation States Theory which highlights how individuals in newly formed performance-oriented groups are likely to be granted high and low...

Supervisors: Prof. Solomon Brown (University of Sheffield) & Dr Mark Workman (Imperial College)Socio-technical transitions are complex and subject to deep uncertainty. Indeed, topics previously considered to be subjected to scientific processes of `prediction' – such as the retail price inflation index - are now increasingly considered to be steeped in...

Supervisors: Prof. Solomon Brown (University of Sheffield) & Dr Mark Workman (Imperial College)Socio-technical transitions are complex and subject to deep uncertainty. Indeed, topics previously considered to be subjected to scientific processes of `prediction' – such as the retail price inflation index - are now increasingly considered to be steeped in...

Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning approaches exploit correlational relationships in a training data set to predict a target variable. When these correlations are spurious or unreliable, those...

Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning approaches exploit correlational relationships in a training data set to predict a target variable. When these correlations are spurious or unreliable, those...