PhD Studentship: Language Model-Grounded User Simulation for Personalised Conversational Systems

About the ProjectDecisions on adopting vaccine policies for infectious diseases can be informed by model-based economic evaluations of the costs and benefits achieved, including the indirect benefits by reducing transmission. Supply-chain and manufacturing process design can also be informed by modelling. Additional investments in manufacturing processes may...

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...

Neuromorphic devices aim to emulate the structure of the human brain to develop resource efficient computing systems. Recent developments have shown strong growth but the complexity of manufacturing many operating elements is challenging to scale indefinitely. To circumvent this, we aim to use bespoke nanoscale devices as 'complex' neurons that operate as...

Artificial intelligence (AI) applications are transformative, but they are becoming increasingly unsustainable. Many AI models require extensive training with large model sizes. As an alternative reservoir computing exploits random fixed networks to transform data to simplify training. By creating structure within these networks, much like the natural...

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...

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...

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...

The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy.Working under the supervision of Dr Elena Marensi and Prof. Pierre Ricco, the successful candidate will join a vibrant and multidisciplinary team of researchers within the...

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...

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...

The project will focus on national systems of labour administration, i.e. public administration activities in the field of national labour policy, as defined by the ILO's Convention No 150. The project will examine the development of labour administration systems in particular countries over time and analyse how the consequences of the organisation of labour...

Wellbeing at work is a dynamic construct and to foster wellbeing in organizations, we need to understand how it evolves and identify its change trajectories. However, there is a scarcity of theories in Work and Organizational Psychology that explain how wellbeing at work develops. This omission limits our understanding of the dynamic nature of wellbeing at...

Are you passionate about pushing the boundaries of fluid-mechanics research to contribute to greener transportation and energy and accelerate the transition to net-zero?Join the Department of Mechanical Engineering's Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows.Working under...

Are you passionate about pushing the boundaries of fluid-mechanics research to contribute to greener transportation and energy and accelerate the transition to net-zero?Join the Department of Mechanical Engineering's Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows.Working under...

Do you want to pioneer using cutting edge technology to investigate how work-related interactions are impacting employees' loneliness? This fully funded PhD offers access to a vibrant research community within the Institute of Work Psychology and an opportunity to collaborate with experts from the University of Canterbury in New Zealand.The overarching aim...

About the ProjectRemote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. By analysing extensive data from wearable devices and smartphones, you will build AI-based models that can lead to early detection of potential health issues and personalised interventions. The integration 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...

Supervisors: Prof. Solomon Brown & Dr Smitha GopinathWith increased penetration of renewables into electricity systems world wide the behaviour of actors within the energy system requires increased consideration of uncertainty and environmental impacts to support the wider decarbonisation effort. This work would extend the economic optimisation of...

The research project aims to explore the complex process of transformative value creation within service ecosystems. Through the integrated perspectives of relationship management and learning theory, the primary objective is to analyse the multifaceted interactions among direct/indirect stakeholders, seeking to uncover how they collaborate and interact to...

The Circular Economy (CE) policy agenda is mainly focusing on mature industrial models rather than on lower- and middle-income economies. However, identifying successful necessity-driven circular business models is important as they can still reduce resource consumption and extend product life cycles, while also generating jobs and addressing pressing needs...