26 Design "University of Warwick " scholarships

PhD Studentship in AI-supported Computational Chemistry of Materials

, and autonomous experimentation to decrease material consumption and enhance sustainability in semiconductor fabrication. The programme unites three research groups from the University of Warwick

PhD Studentship: Deep Learning of Reaction Barriers for High-throughput Retrosynthetic Drug Design

very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design

PhD Studentship: Building Better Batteries: Modelling and Optimisation of Electrode Filling

large projects. With its project partners HetSys develops talented PhD students to push boundaries in this exciting field. The students have the potential to inspire new ideas, approaches & innovation

PhD Studentship: Hybrid Modelling Approaches for Moving Fluid-fluid Interfaces Around Solid Obstacles

partners HetSys develops talented PhD students to push boundaries in this exciting field. The students have the potential to inspire new ideas, approaches and innovation and become future leaders in

PhD Studentship: Frozen In: Predicting Microstructure in Solidifying Droplets

. The students have the potential to inspire new ideas, approaches and innovation and become future leaders in developing new technologies. HetSys builds on Warwick's cross-departmental scientific computing

PhD Studentship: Better-conditioned Inverse Problems in Computational Materials Science

large projects. With its project partners  HetSys develops talented PhD students to push boundaries in this exciting field. The students have the potential to inspire new ideas, approaches and innovation

PhD Studentship: Machine Learning Potentials for Strength Studies in Hexagonal Close Packed Materials

field. The students have the potential to inspire new ideas, approaches and innovation and become future leaders in developing new technologies. HetSys builds on Warwick's cross-departmental scientific

PhD Studentship in WiFi-Vision Cross-modality Learning for Human Activity Recognition

will investigate the following three main directions: Designing effective WiFi feature templates (e.g., angle of arrival, Doppler frequency shift) to capture human behaviour information while suppressing

PhD Studentship: Machine Learning Accelerated Design of Composite Materials for Hydrogen Economy

closely with co-supervisors at Mathematics and Chemistry Departments at the University of Warwick. The candidate will also have opportunity to interact closely with industry (e.g. Baker Hughes Ltd, National

13 Phd Positions on the EU Horizon 2020 Marie Sklodowska-Curie Project POSEIDON

Bretagne Occidentale, OsloMet – Storbyuniversitetet, Norwegian University of Science and Technology, University of Warwick, and University of Liverpool. Industry partners are Cathie Associates, Optum