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AI & Machine Learning (scientific computing) PhD Projects, Programs & Scholarships

We have 10 AI & Machine Learning (scientific computing) PhD Projects, Programs & Scholarships

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  Machine learning-based nonlinear approximation of PDEs on complex domains
  Prof S Badia
Applications accepted all year round

Funding Type

PhD Type

Countless phenomena can be modelled by partial differential equations, including the electromechanics of the heart or option pricing in finance.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  PhD position in Computational Sciences
  Prof C Alexandrou
Applications accepted all year round

Funding Type

PhD Type

PhD, with possibility of financial aiding at The Cyprus Institute (CyI). Supervisors. Prof. C. Alexandrou (CyI) [email protected]
  Adaptive undersampling for spectro-microscopy: exploring new mathematical properties and enhancing performance
  Dr S Gazzola, Dr S Dolgov
Application Deadline: 15 March 2020

Funding Type

PhD Type

This is a collaborative project between the University of Bath and Diamond Light Source, the national synchrotron science facility located at the Harwell Science and Innovation Campus near Oxford https://www.diamond.ac.uk/Home.html.
  Artificial Intelligence and Machine Learning for Biomedical Data
  Prof P Andras
Applications accepted all year round

Funding Type

PhD Type

Artificial Intelligence (AI) and Machine Learning (ML) are the leading edge approaches to data driven problems across all areas of life, technology and sciences.
  Design human-like machine learning
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reasoning, Random Forests and Neural Networks) are frequently employed in most of the experiments.
  EPSRC DTP studentship in Sparsity and structures in large-scale machine learning problems
  Dr B Gauthier, Dr K Strokorb
Application Deadline: 16 March 2020

Funding Type

PhD Type

This project aims at investigating, both from a theoretical and computational point of view, the design of novel model-based and data-driven feature extraction and sparsification strategies for the approximation of complex Machine Learning problems.
  3D Spectrum Imaging and Visualisation of Chemical Microstructure
  Dr J Leng
Application Deadline: 28 February 2020

Funding Type

PhD Type

This PhD studentship will make a key contribution to the development of a methodology to produce 3D chemical maps of a multiphase material (or the interface between two different materials) from the visible to the atomic scale by utilising the state of the art electron microscopy facilities in the Leeds Electron Microscopy and Spectroscopy centre (LEMAS).
  Towards an open-source, equipment-agnostic framework for automated welfare monitoring in the home cage
  Dr J Brown, Dr X Ye
Application Deadline: 24 February 2020

Funding Type

PhD Type

Mice are the most widely used model organism in all of science. In 2018, 60% of all experimental procedures performed in the UK were carried out using mice, amounting to more than 2.5 million procedures in total.
  The role of mergers in fuelling Active Galactic Nuclei
  Dr C Villforth
Application Deadline: 1 March 2020

Funding Type

PhD Type

As part of the European Commission Innovative Training Network (ITN) BiD4BEST, the University of Bath is inviting applications for an early-stage researcher position working on the role of mergers and instabilities in the fuelling of supermassive black holes under the supervision of Dr Carolin Villforth https://researchportal.bath.ac.uk/en/persons/carolin-villforth.
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