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Information Science (self) PhD Projects, Programs & Scholarships

We have 90 Information Science (self) PhD Projects, Programs & Scholarships

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  Harnessing digital patient-generated health data to improve clinical decisions in people with long-term conditions
  Dr S Van der Veer, Prof D Dowding, Dr Alan Davies
Applications accepted all year round

Funding Type

PhD Type

One in four people in the UK live with one or more long-term conditions.
  The Manchester Dementia Prediction Database: Using advanced statistical methods to optimise diagnosis and prognosis for people with degenerative neurological conditions.
  Dr J Thompson, Dr A Woollams, Dr M Jones
Applications accepted all year round

Funding Type

PhD Type

Early diagnosis and accurate prognostic information are key priorities to enable people with neurodegenerative dementia to know what to expect and to enable them to plan effectively for their future needs.
  Use of highly multi-modal PET and MRI data as a predictive biomarker of the site of recurrence in neuro-oncology
  Dr R Hinz, Dr David Coope, Prof A Jackson
Applications accepted all year round

Funding Type

PhD Type

Primary brain tumour including glioblastoma (GBM), the most aggressive and most common form in adults, continue to have a socioeconomic impact that is disproportionate to the tumour frequency due to our inability to obtain a cure in the vast majority of adult sufferers.
  Rolls-Royce: Improving the product design process within aerospace and maritime applications using accountable, responsible and transparent AI
  Dr JM Flynn, Dr N Campbell
Application Deadline: 31 May 2020

Funding Type

PhD Type

Rolls-Royce deploys advanced power generation and propulsion technologies into the aerospace, maritime and defence sectors. The complexity of these systems means that product design, certification and maintenance is driven by rigorous processes, accrued expertise and tacit knowledge.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Dr S Konur, Dr D Thakker, Prof F Campean, Mr E Munive Hernandez
Applications accepted all year round

Funding Type

PhD Type

Information processing using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets.
  Analysis of software evolution using phylogenetic networks (MOULTONVU20SF)
  Prof V Moulton, Dr O Buckley
Application Deadline: 31 May 2020

Funding Type

PhD Type

Just as with biological viruses, malware evolves. For example, malware will often be created by combining and evolving existing code, a process that is analogous to recombination in biological viruses.
  Time Series Classification at Scale (BAGNALLAU20SF)
  Dr T Bagnall
Application Deadline: 31 May 2020

Funding Type

PhD Type

Time series classification (TSC) involves building predictive models for problems where the attributes are ordered. So, for example, we may want to predict whether a patient is healthy or not based on their heart beat.
  Making impact assessment relevant for the 21st century (BONDAU20SF)
  Dr A Bond
Application Deadline: 31 May 2020

Funding Type

PhD Type

The future of impact assessment (IA) (a mandated decision-support process in every country of the world) has to contend with global megatrends, including the fourth industrial revolution (Retief et al., 2016), that are set to change the face of the planet (Dusik et al., 2018).
  Making tiering in environmental assessment work (BONDA1U20SF)
  Dr A Bond
Application Deadline: 31 May 2020

Funding Type

PhD Type

An Environmental Impact Assessment (EIA) system is supposed to predict the effects of actions that might have significant impacts at all levels of decision-making, including policies, plans, programmes and projects.
  A Quantum Receiver for Classical Wireless Communication Systems
  Dr W. Popoola, Prof J Thompson
Application Deadline: 31 October 2020

Funding Type

PhD Type

The aim of this study is to investigate Rydberg atoms as a receiver for classical digital communication systems. Rydberg atoms have very large radius and their valence electrons are very loosely bound.
  Adaptive Learning in brain-robot interactions
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals.
  Cybersecurity in Electricity Grids
  Dr I Esnaola
Applications accepted all year round

Funding Type

PhD Type

The increasing interconnectivity between information systems, communications, and the electricity grid gives rise to numerous benefits, but it also amplifies the impact of potential threats, both intentional and unintentional.
  Decision making dynamics with non spatially embedded networks and superimposed information layers
  Dr G Punzo
Applications accepted all year round

Funding Type

PhD Type

Deciding between available alternatives, each more or less appealing than others depending on the proportion of people choosing it, is a classical decision and control problem.
  Multimodal Control of Prosthetic Limbs/Paralysed Muscles
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs.
  The virtual body schema project: How can body schema be objectively defined and measured?
  Dr SP Wilson, Dr T Stafford
Applications accepted all year round

Funding Type

PhD Type

The body schema can be loosely defined as the representation of the body in space, i.e., how you know you can reach the pint at the bar but not the bottle behind it; that you can fit through the door but not the cat-flap; that you must dive to kick a ball or duck to avoid a punch.
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