PhD Study

Artificial intelligence to Building Energy Systems for Next Generation Control Strategies

Energy Institute

This project will capitalise on the emergence of AI tools to develop a novel control system based on user requirements to optimise and regulate the usage of HVAC across a range of commercial buildings.

Deadline: Wednesday 24 July

Find out more information and apply here.

Trust in Distributed Surveillance Systems

Department of Automatic Control and Systems Engineering

Are you interested in Machine Learning and Signal Processing methods and their applications to autonomous systems and surveillance? We have a PhD project funded by the UK Government Defence Science and Technology Laboratory (DSTL) at the University of Sheffield, a leading World University and a Russell Group University in the UK.

Deadline: Saturday 3 August

Find out more information and apply here.

Developing AI Controlled Granulation Process for Formulated Chemicals

School of Chemical, Materials and Biological Engineering

The aim of this project is to use Industry 4.0 technologies including machine learning and artificial intelligence (AI) to develop digital and soft sensors to predict product properties and optimise process in real-time for manufacturing functional chemical and/or pharmaceutical products

Applications accepted all year round.

Find out more information and apply here.

Energy-efficient AI Using Modular Deep Reservoir Computing

Department of Computer Science

This project aims to explore how diverse properties in recurrent neural networks can be used to create reservoir computing architectures able to tackle challenging real-world tasks.

Applications accepted all year round.

Find out more information and apply here. 

Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

Department of Mechanical Engineering

We are seeking a highly motivated PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain injury prediction. 

Applications accepted all year round.

Find out more information and apply here. 

Statistics and AI for Engineering and Smart Manufacturing

School of Mathematics and Statistics

We are thrilled to announce an exceptional PhD opportunity in the dynamic fields of Statistics and Artificial Intelligence, specifically tailored for Engineering and Smart Manufacturing. This project is designed for candidates eager to explore and expand the realms of statistical analysis and reliable AI in industrial pipelines, with a special emphasis on smart manufacturing and electronic design automation (EDA).

Applications accepted all year round.

Find out more information and apply here. 

Artificial intelligence and machine learning methods for model discovery in the social sciences

Department of Automatic Control and Systems Engineering

Many theories have been proposed for how problematic social phenomena - such as segregation, inequality, and clustering of unhealthy behaviours - emerge and change over time. But which theories are useful for understanding these phenomena and devising effective interventions to change them? This project will develop computationally efficient model discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena.

Applications accepted all year round.

Find out more information and apply here. 

Online discussion; augmenting argumentation with chatbots

Department of Psychology

Argumentation - the systematic exchange of reasoning supporting or undermining an idea - enhances communication between individuals. Unreliable chains of thought are weeded out, reliable ones survive. Striking evidence for this is that reasonings tasks which provoke systematic errors when considered by individuals choice can be solved correctly by small groups, if they are given time for discussion. Chatbots with natural language processing create an opportunity to have artificial agents interact with group deliberation, and make it more effective. In this way, the strengths of human and artificial intelligence can augment each other

Applications accepted all year round.

Find out more information and apply here.