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We have 15 Computational Chemistry (prediction) PhD Projects, Programmes & Scholarships

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Computational Chemistry (prediction) PhD Projects, Programmes & Scholarships

We have 15 Computational Chemistry (prediction) PhD Projects, Programmes & Scholarships

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more

Uncertainty quantification for machine learning models of chemical reactivity

In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Read more

The Universities for Nottingham and the Centre for Sustainable Chemistry - PhD Scholarships available

We invite suitably qualified and highly motivated applicants from STEM disciplines to apply for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham Trent University. Read more

The Universities for Nottingham and the Centre for Sustainable Chemistry - PhD Scholarships available

We invite suitably qualified and highly motivated applicants from STEM disciplines to apply for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham Trent University. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more

New Methods for modelling cofactor-dependent enzyme structure and function

Enzymes are Nature’s catalysts and many used cofactors and/or coenzymes to catalyse their reactions. While AI and homology methods now often allow the useful prediction of protein structure from amino acid sequence, this can be more challenging when the protein/enzyme contain cofactors. Read more

Rational Control of Crystal Morphology

  Research Group: Chemistry and Biosciences
The external shape of crystalline particles (called morphology) is of paramount importance in a wide range of applications, in particular pharmaceuticals and pigments. Read more

Antimatter Chemistry: computational studies of matter-antimatter interactions

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more
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