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AI & Machine Learning (decision) PhD Projects, Programs & Scholarships

We have 31 AI & Machine Learning (decision) PhD Projects, Programs & Scholarships

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  Enhancing Adoption of 3D Printing in Medical Technology Industry through Data Driven Decision Making
  Dr S Tavassoli, Assoc Prof B Abbasi
Applications accepted all year round

Funding Type

PhD Type

The project investigates the adoption of disruptive technologies by focusing on the case of 3D Printing (3DP) in the Medical Technology (MedTech) industry.
  Behavioural and brain mechanisms of social decision-making across the lifespan and in antisocial behaviour.
  Dr P Lockwood, Dr J Galea, Dr S De Brito
Application Deadline: 6 January 2020

Funding Type

PhD Type

The social decision neuroscience lab (www.sdn-lab.org) is offering a competitively funded project examining the fundamental behavioural, computational and neural mechanisms of social decision-making in humans.
  Shaping the future of the UK’s landscapes – building a decision support system for sustainability
  Dr A Wilson
Application Deadline: 9 January 2020

Funding Type

PhD Type

Project background. The landscapes of the UK serve varied functions – e.g. supporting farmers’ yields, forestry, biodiversity and recreation.
  Precision Medicine DTP - Data-Driven Decision Making for Paediatric Triage in Acute Care
  Dr A Shah, Prof S Cunningham
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Respiratory diseases affect hundreds of millions of people in both the economically developing and developed world causing morbidity and mortality [1].
  Status of Malawi’s Water and Land Resources: to aid policy and donor decisions (SMaWaL)
  Dr K MacLeod, Dr M Troldborg, Prof R Kalin
Application Deadline: 6 January 2020

Funding Type

PhD Type

Summary. This research aims to improve National Government and donor decision making about water and land management in Malawi. Malawi’s economy is dependent on its water and land resources, with agriculture directly accounting about 30% to GDP (MEM 2019, 7).
  Statistical machine learning for efficient and reliable estimation in computationally intensive systems
  Dr X Chen
Application Deadline: 8 December 2019

Funding Type

PhD Type

A computationally intensive Industrial process is sometimes considered and modelled as a black-box system, for which one can only observe/analyse system’ inputs and outputs but with very limited knowledge of its internal mechanism.
  Reliability analysis, fault diagnosis and optimization in dynamic small data environment using explainable AI
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

The smart system consists of the man-made machine and the intelligent decision making. Mostly, the machine will be designed with automation purpose and the decision making can be achieved based on big data training and AI technology.
  Precision Medicine DTP - Analysing and recommending personalised care pathways for multimorbid patients with the use of artificial intelligence techniques
  Research Group: Centre for Medical Informatics
  Dr A Manataki, Dr D Wake, Dr S Cunningham
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Multimorbidity is one of the biggest challenges that health services are facing in the UK and worldwide. Care for people living with multiple conditions accounts for over half of the costs of primary and secondary care in the UK, and the number of these patients is rising.
  Distributed artificial intelligence for Internet of things (Application Ref: SF19/EE/CIS/JIN)
  Dr N Jin, Dr X Dai
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) has been transforming many industrial sectors and our daily life, for example digital manufacturing, smart grid and digital living.
  Human-Centred Artificial Intelligence with Guided Learning (Application Ref: SF19/EE/CIS/WOO)
  Prof W L Woo, Dr B Wei
Applications accepted all year round

Funding Type

PhD Type

Applications based on artificial intelligence (AI) are increasingly informing decisions in critical areas of our society – including strategy, defence and policymaking, to name but a few.
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