20 materials-science "University of Warwick " scholarships

PhD Studentship in AI-supported Computational Chemistry of Materials

the Intel-Merck consortium (the AWASES programme), available as soon as possible (at latest by September 2024). The postholder will work with Dr. Bora Karasulu (University of Warwick, Chemistry Department

PhD Studentship: Fundamental Understanding on Biomass Application in Net-zero EAF Steelmaking

) at the Advanced Steel Research Centre (ASRC) of WMG, the University of Warwick. This PhD studentship also offers a unique opportunity to work with the leading scientists at Tata Steel UK. Essential and Desirable

PhD Studentship in Sustainable Rubber Chemistry and Technology

for Nanocomposites Manufacturing (IINM) and WMG, University of Warwick https://warwick.ac.uk/fac/sci/wmg/research/materials/nanocomposites . You will be able to gain systematic trainings on polymer synthesis

PhD Studentship: Behaviours of Nitrogen in the Future Green Steelmaking Routes

. Supervisors: University of Warwick: Professor Zushu Li, Dr Zhiming Yan Tata Steel Nederland Technology B.V.: Dr Bapin Rout, Dr Saikat Chatterjee Start Date: October 2023 Research Group: Advanced Steel Research

PhD Studentship: Solid-Supported Chalcogen Bonding Catalysis

Solid-Supported Chalcogen Bonding Catalysis A 3.5 year fully-funded PhD position is available in the group of Dr Mark Greenhalgh at the University of Warwick, in collaboration with GoldenKeys High

PhD Studentship: High-bandwidth Implantable Brain Processing: From Theory to Practice

, electronics engineering or neuroscience. Knowledge of deep learning architectures (such as CNN, LSTM, AE, GAN) is essential. Strong programming skills (MATLAB, Phyton) is essential. Previous experience

PhD Studentship: Atomistic Insight into Nucleation and Electrochemistry: Machine Learning Multiscale Simulation

learned interatomic potentials to make simulated training data for ML models of nucleation. This will be paired with TEM imaging that captures atomic-level electrochemical processes in situ on 2D materials

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

PhD Studentship: Noise-to-Signal: Reimagining Ultrafast Optical Spectroscopies to Capture Fluctuating Dynamics in Quantum Materials

Supervisors: Supervisors:  Dr. Raj Pandya (Chemistry), Prof. James Lloyd-Hughes (Physics), Prof. Animesh Datta (Physics) Summary:  Optical pump-probe spectroscopy is the go-to method for capturing

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

Supervisors: Dr. Albert Bartok-Partay (Physics), Prof. James Kermode (Engineering), Dr Livia Bartok-Partay (Chemistry) Summary: In high-performance applications such as aerospace and medical