31 atomic-physic positions at ; University of Southampton in United Kingdom

PhD Studentship - Enhanced AM Processing Using Time Resolved 4D X-ray Computed Tomography

“interrupted” tests whereby the process is paused or slowed to allow information to be collected at a series of discrete time or load steps. This results in an estimated interpolation of events between capture

PhD Studentship: Novel Metamaterials

present in these materials will lead to entirely new properties and thus they will be true metamaterials in which 40% of all the atoms are at or near a surface, i.e. an engineered metamaterial almost

PhD Studentship: General Purpose Machine Learning Tool-Kit for Bragg Coherent Diffraction Imaging

information about the arrangement of atoms within the nanocrystal. Iterative phase reconstruction computational methods are then routinely used to recover the complex three-dimensional electron density and

PhD Studentship - Application of Linear-Scaling Quantum Mechanics Methods to Hydrogen Transport Through Complex Materials

Supervisory Team: Chris-Kriton Skylaris (80%) Jeremy Frey (20%) Project description: Density Functional Theory (DFT) calculations are typically limited to tens of atoms due to the steep increase

PhD Studentship: Large-scale Electrochemical DFT Models of a PEM Hydrogen Fuel Cell

nanoparticle under different degrees of oxidation and applied voltage, the charge of the electrode and the nature of the electrolyte double layer that is formed under different conditions, with atomic resolution

PhD Studentship: Using machine learning to evaluate atomic force microscopy nanoindentation data

Project title: Using machine learning to evaluate atomic force microscopy nanoindentation data Supervisory Team: Dr Martin Stolz, Dr Sasan Mahmoodi Project description: The University of Southampton

PhD Studentship: Understanding Deep Learning

. Creating new notions of model quality will help further understand DL models, which in turn will lead to the creation of better, more reliable, and more interpretable machines. This additionally has

PhD Studentship: Development of RF MEMS for 6G communication

Au-doped Si process which enhances small signal performances and lead to better performance in terms of crosstalk and RF losses. Such a low-loss and highly linear substrate is extremely suitable for RF

PhD Studentship: Wearable Cerebral Blood Flow Monitoring Using Speckle Contrast Optical Tomography (SCOT) in the Infant Brain

Supervisory Team: Ernesto Vidal-Rosas Project description: Cerebral injuries are the leading cause of neonatal mortality & life-long morbidities. The conditions that lead to brain injury include

PhD Studentship: Combining Deep Learning and Computational Thermodynamics Modelling to Design Novel Functionally Graded Multimaterial Components

, this requires a multiple approach combining computational thermodynamics and deep learning. This PhD project will lead to the conception of functionally graded advanced components combining properties