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Information Science (ai) PhD Projects, Programs & Scholarships

We have 40 Information Science (ai) PhD Projects, Programs & Scholarships

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  UKRI Centre for Doctoral Training on Safe and Trusted Artificial Intelligence

Funding Type

PhD Type

The UKRI Centre for Doctoral Training (CDT) on Safe and Trusted Artificial Intelligence (STAI) brings together world leading experts from King's College London and Imperial College London to train a new generation of researchers in safe and trusted artificial intelligence (AI).
  UKRI Centre for Doctoral Training on Safe and Trusted Artificial Intelligence

Funding Type

PhD Type

The UKRI Centre for Doctoral Training (CDT) on Safe and Trusted Artificial Intelligence (STAI) brings together world leading experts from King's College London and Imperial College London to train a new generation of researchers in safe and trusted artificial intelligence (AI).
  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.
  PhD Studentship in Abstract Forward Models for Modern Games
  Dr D Perez-Liebana
Application Deadline: 31 January 2020

Funding Type

PhD Type

Applications are invited for a full PhD Scholarship starting in April 2020 (or as soon as possible thereafter) to undertake research in the areas defined in the EPSRC project “Abstract Forward Models for Modern Games”.
  Efficient Evolution for Intelligent Autonomous Systems
  Dr J Ringert, Dr I Tyukin
Application Deadline: 21 November 2019

Funding Type

PhD Type

Project reference. CSE Informatics Ringert 2020. Intelligent software is pervading the world around us. It is the driving enabler for innovations and products from autonomous vehicles, to enhanced health care, to efficient crisis response, to simple things like recommending the right movie for inspiration.
  Bayesian federated learning for collaborative intelligence in modern smart car-road infrastructure networks
  Dr X Chen
Application Deadline: 2 February 2020

Funding Type

PhD Type

Machine learning techniques often require training data to be collected and stored in a centralised HPC/data centre, which can be inefficient in modern Internet of Things enabled scenarios such as Internet of Vehicle or Connected Cars.
  Artificial Intelligence and Machine Learning to Improve the Effectiveness and Efficiency of Health Care
  Dr B Brown, Prof D Dowding
Applications accepted all year round

Funding Type

PhD Type

Artificial intelligence (AI) is widespread throughout commercial industries (think Google, Uber, Alexa, and Siri), but rarely used in health care settings.
  Continuous validation for policy compliance and policy revision
  Dr J Padget
Application Deadline: 2 February 2020

Funding Type

PhD Type

A policy can capture and express human intentions for the behaviour of (human and software) actors a priori, but without compliance monitoring, it can be difficult to be confident that policy is being followed, or to observe transgressions that may be indicative of unfitness for purpose.
  Meta-policy and co-policy analysis
  Dr J Padget
Application Deadline: 2 February 2020

Funding Type

PhD Type

A policy may be conceived in isolation but is necessarily deployed in a context governed by other policies. Some of these other policies may operate at the same level on the same actors – co-policies – and some at higher levels – meta-policies – constraining what other policies may forbid, permit or oblige.
  Policy driven data science: using access policies and metadata to refine query workflows
  Dr J Padget
Application Deadline: 2 February 2020

Funding Type

PhD Type

The availability of large amounts of uncurated data of variable or unknown quality is a temptation and a risk for the data scientist, because it is almost too easy to generate results of questionable provenance and validity.
  Round-trip policy engineering
  Dr J Padget
Application Deadline: 2 February 2020

Funding Type

PhD Type

Most policies are written by humans for humans.
  Provenance and explainability of AI decisions
  Prof L Moreau
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a 3-year PhD studentship in Cybersecurity Group in the Department of Informatics, King’s College London, ideally to begin in October 2019.
  Multi-agent AI for coordinating a hardware gig economy
  Prof T Drysdale
Application Deadline: 25 March 2020

Funding Type

PhD Type

Gig economies have turned many traditional business models on their heads, and are poised to do the same yet again, but for one of the most traditional economies.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Advanced Maritime Targets Recognition from SAR images exploiting target’s micro motions and AI
  Dr C Clemente
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a PhD studentship for which funding decision is pending.
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