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machine learning PhD Projects, Programs & Scholarships

We have 373 machine learning PhD Projects, Programs & Scholarships

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  Machine learning in quantum chemistry - using machine learning to improve the results of quantum chemical calculations
University of Sheffield Department of Chemistry
  Dr JG Hill
Applications accepted all year round
Machine learning methods have seen a great deal of recent success in a number of technological fields, and these techniques from applied statistics and computer science are poised to change the fields of computational and theoretical quantum chemistry.
Details
Type/Funding
  Fully funded PhD Scholarship - Machine learning and wearable activity recognition
University of Sussex School of Engineering and Informatics
  Dr D Roggen
Application Deadline: 31 December 2018
Wearable motion sensor data can be interpreted with AI and machine learning techniques to infer human activities and provide contextual assistance, for instance in a wearable fitness coach or for industrial or elderly assistance.
Details
Type/Funding
  A critical assessment of fault growth models using Machine Learning tools
Cardiff University Cardiff School of Earth and Ocean Sciences
  Dr T Alves
Application Deadline: 7 January 2019
Project Background. Lithological heterogeneities in subsurface units are capable of distributing stresses in distinct ways, leading to the nucleation of faults and fractures in specific stratigraphic intervals.
Details
Type/Funding
  MRC Precision Medicine DTP: Image analysis and machine learning for OCT image sequences
University of Edinburgh School of Mathematics
  Dr S King, Dr K Baillie
Application Deadline: 7 January 2019
Additional Supervisor. Dr Ian MacCormick. Background. The eye provides a window through which structural and functional characteristics of blood vessels can be visualised and quantified using new technology.
Details
Type/Funding
  Predicting the next global geomagnetic reversal using machine learning
University of Leeds School of Earth & Environment
  Dr P Livermore, Dr C Davies
Application Deadline: 7 January 2019
The Earth’s magnetic field, generated by turbulent convection in the liquid outer core, has reversed many times over its 3.5 billion-year history, at a present rate of about 2-3 times per million years (Stern, 2002) The last global reversal took place 780,000 years ago, leading to speculation that we are “overdue”.
Details
Type/Funding
  Integrative Computational Biology and Machine Learning: Combining computational biology, computational chemistry, and machine learning techniques with biological big data to unravel the higher genomic code of life
University of Oxford Radcliffe Department of Medicine
  Dr A Sahakyan, Prof P McHugh
Application Deadline: 11 January 2019
In the Sahakyan Group, we strive to make computational biology maximally independent from empirical experimental data, by basing our models and predictions on genomic sequences and core biological mechanisms.
Details
Type/Funding
  Machine Learning and Cognitive Modelling Applied to Video Games
University of Manchester School of Computer Science
  Dr K Chen
Applications accepted all year round
Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
Details
Type/Funding
  Machine learning to detect earthquakes in energy extraction
University of Leeds School of Earth & Environment
  Dr A Nowacki, Prof D Hogg
Application Deadline: 31 January 2019
Our society depends on the safe extraction of energy from a mixture of natural resources, including heat from the ground in geothermal power production, and the exploitation of hydrocarbons.
Details
Type/Funding
  Machine learning to detect earthquakes in energy extraction
University of Leeds School of Earth & Environment
  Dr A Nowacki, Prof D Hogg
Application Deadline: 31 January 2019
Our society depends on the safe extraction of energy from a mixture of natural resources, including heat from the ground in geothermal power production, and the exploitation of hydrocarbons.
Details
Type/Funding
  Self-Learning Intrusion Detection System Through Machine Learning (Advert Reference: SF18/CIS/ISSAC)
Northumbria University Faculty of Engineering and Environment
  Dr B Isaac
Applications accepted all year round
As network applications are increasingly used with the popularity of broadband networks and Internet of Things (IoT), network security is a very important issue.
Details
Type/Funding
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