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We have 18 atomic simulations PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
atomic simulations PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 18 atomic simulations PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Exploring Thermomechanical Properties of 2D materials
2D materials such as molybdenum disulfide (MoS2), black phosphorus, and molybdenum ditelluride (MoTe2) are among viable key materials for electromechanical applications. Read more
PhD Fellowship - Simulations of Materials at Extreme Conditions
Looking for an exciting and challenging research opportunity at the science frontiers? Join our dynamic research group that explores the behaviour of materials under extreme conditions using advanced theory, simulations, and experiments!. Read more
Modelling carbon using machine learning
Carbon is a complex material that exists in many forms including graphene, graphite, and diamond. Graphite and other forms of carbon have widespread applications ranging from batteries, composite materials and even within nuclear reactor cores. Read more
Theoretical studies of localisation of ultra-cold atoms in disordered media.
Theoretical studies of localisation of ultra-cold atoms in disordered media. The candidate should have a good mathematical grounding and be competent writing and running computer simulations. Read more
Ab initio thermoelectric transport simulations for complex energy materials
Qualification. Doctor of Philosophy in Engineering (PhD). Start date. 3rd October 2023. Funding for. UK Students for 3.5 years. Supervisors. Read more
Structure and function of the mitochondrial DNA network in trypanosomatid parasites
Research Group:
Edinburgh Infectious Diseases
Project offered for Ker Memorial PhD Studentship in Infectious Diseases at the University of Edinburgh. Trypanosomatid parasites cause devastating diseases in humans and their livestock, and these diseases predominantly affect low- and middle-income countries. Read more
Investigating the role of verified methods for enhancing trust in digital twins
The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more
Last chance to apply
Exploiting Anisotropy in Functional Oxides for Energy Applications
In order to realise clean, carbon-free electricity production and hydrogen generation on a commercial scale, it is essential to optimise emerging technologies such as solid oxide fuel cells and solid oxide electrolyser cells. Read more
Investigation of hydrogen embrittlement of steels for the hydrogen transport energy future
Hydrogen embrittlement (HE), the loss of the ductility due to the diffusion of atomic hydrogen in steels, has major consequences in pipelines. Read more
PhD in Chemistry: Materials design and machine learning applied to heterogeneous catalysis
Materials design and machine learning applied to heterogeneous catalysis. PhD Supervisor. Dr. Andrew J. Logsdail. http://www.cardiff.ac.uk/people/view/481607-logsdail-andrew. Read more
Physics-Informed Machine Learning for Behavioural Analysis of SiC/SiC Materials in Fusion Nuclear Reactors
In collaboration with the UK Atomic Energy Authority (UKAEA), this project aims to leverage the transformative potential of machine learning to unravel the operational behaviour of Silicon Carbide/Silicon Carbide (SiC/SiC) materials. Read more
Transparency in neural ordinary differential equations
Neural ordinary differential equations (neural ODEs) are a relatively recent development (. https://arxiv.org/abs/1806.07366). in the field of machine learning, where the hidden state dynamics of certain neural network architectures can be reformulated as numerical solutions of a differential equation. Read more
Mechanistic insights into enzyme catalysis via ab initio molecular dynamics and machine learning
With the unprecedented processing capacity available, computational studies are making remarkable contributions in the field of enzymatic biocatalysis. Read more
High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems
The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more
Last chance to apply
Computational Exploration of Novel Fluoride-Ion Battery Materials
The University of Bath is inviting applications for the following funded PhD project commencing in October 2023. Lead Academic Supervisor. Read more
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