10 machine-learning-phd positions at ; University of Sheffield in ireland

PhD Studentship - Machine Learning Digital Twins of Spintronic Neuromorphic Devices

networks of these devices we will use digital twins; machine learning models trained to predict physical systems but are differentiable. This project will advance the machine learning methods, particularly

PhD Studentship: Interpretable Machine Learning Algorithms for Predictive Toxicology

EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection

PhD Studentship - Deep Learning based Controllable Animation

observations like 2D images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and

PhD Studentship - How Relationships with Leaders Impact Loneliness at Work: A Comparative Study Between Remote and In-person Settings

potential for deploying machine learning techniques in the analysis phase (e.g. using R analytics). The successful candidate will have a scholarly interest in behaviour, leadership, relationships and/or

PhD Studentship - An Investigation of Transaction-level P2P Lending in Germany and the EU

). The application of machine learning and Big Data techniques will enable assessment of the antecedent institutional, disclosure, governance, and micro-level factors necessary for P2P funding success in the German

PhD Studentship - Computational Modelling of Coupled Spin-lattice Dynamics in Anti-ferromagnets

materials using the framework of atomistic spin dynamics with coupled spin-lattice dynamics. To undertake this, we will first explore the use of machine learning to create models of the interactions between

PhD Studentship - Energy-efficient AI using Modular Deep Reservoir Computing

sensor data. Supervisor Bio Dr. Matthew Ellis’ research intersects machine learning and physics; looking to better integrate advances in both to create new paradigms for computing. With a background in

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

About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong

PhD Studentship: Remote patient monitoring using wearable devices and AI

meaningful features from these sensor data and apply machine learning algorithms to predict health outcomes; 2) to explore advanced deep learning methodologies to further exploit the information embedded

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

. The core objectives include: Based on existing car collision simulation and traffic accident database, using machine learning methods to establish the relationship between vehicle kinematics and occupant