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Computer Science & IT (self) PhD Projects, Programs & Scholarships

We have 174 Computer Science & IT (self) PhD Projects, Programs & Scholarships

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  Mental Health Research UK Suicide PhD Scholarship: Understanding pathways to self-harm and suicide ideation in high risk young people: an unmissable opportunity for suicide prevention.
  Prof E Townsend
Application Deadline: 1 March 2020

Funding Type

PhD Type

Self-harm is a crucial element of suicide prevention that is now recognised in government strategy (Department of Health and Social Care, 2017).
  Synthesis and Verification of Dynamic Assurance Cases for Self-Adaptive Systems
  Dr R Calinescu, Dr I Habli
Applications accepted all year round

Funding Type

PhD Type

Research areas. Automated and Model-Driven Software Engineering; Autonomous and self-adaptive systems; Safety analysis, system safety;.
  Self-organized collective patterns on graphs (ESR 3)
  Prof M Hutt
Application Deadline: 31 January 2020

Funding Type

PhD Type

Over the last few years, diverse studies have established that many forms of dynamics self-organize on networks to give rise to large-scale collective patterns.
  Internet of Things Infrastructure for Sustainable Wildlife Conservation (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project will investigate the design and development of an end-to-end, distributed, Internet of Things (IoT) infrastructure to support sustainable wildlife conservation.
  Adaptive self-learning vision systems
  Dr P Kinnell, Dr N Lohse, Dr A Soltoggio
Applications accepted all year round

Funding Type

PhD Type

Many computer vision systems make use of artificial neural networks to undertake complex image analysis tasks, such as locating objects in a clutter scene.
  Data analysis for digital-entrepreneurship/self-employment (Application Ref: SF19/EE/CIS/ANWAR)
  Dr MN Anwar, Dr A Ali
Applications accepted all year round

Funding Type

PhD Type

This age of big data gives a great opportunity to turn large-size datasets with high-velocity and diverse structures into real advantage in many fields, such as health, economics, education and disaster prevention.
  Personalised content exploration engine to support self-management of multiple chronic conditions
  Research Group: Applied Computing
  Dr D Thakker
Applications accepted all year round

Funding Type

PhD Type

The self-management model in health aims to empower a person to be more active participant in his or her own care [1]. Involving patients actively in their own care is critical for controlling disease management costs associated with monitoring and assessment.
  Testing Robotics and Autonomous Systems Using Search-based Techniques
  Research Group: Applied Computing
  Dr RE Lefticaru, Prof D Neagu
Applications accepted all year round

Funding Type

PhD Type

Robotics and Autonomous Systems (RAS) are becoming indispensable for human productivity and it is estimated that there will be a £13 billion global market for RAS by 2025.
  Adaptive Service Composition Techniques and Algorithms for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

Service composition is a collection of services where, many smaller services are combined together to a larger service. Service composition is the problem of aggregating services in such a way that given (functional and not functional) requirements are satisfied.
  Edge Computing for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project has two different research themes. (1) Edge Computing; (2) Data Science. (1) Edge Computing is the notion of performing computation close to the data generation source, by significantly reducing data communication latency and ensuring that private data is maintained closer to the data generation source.
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