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Information Science (self) PhD Projects, Programs & Scholarships

We have 80 Information Science (self) PhD Projects, Programs & Scholarships

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  Rapid digitisation of early-stage prototypes and physical to digital synchronisation in product design
  Dr C Snider, Prof B Hicks
Applications accepted all year round

Funding Type

PhD Type

Summary. This project will investigate processes and technologies to capture the form and behaviour of physical prototypes and generate synchronised digital representations.
  Rapid hybrid manufacture of prototypes and digital to physical synchronisation in product design
  Dr C Snider, Prof B Hicks
Applications accepted all year round

Funding Type

PhD Type

Summary. This project will investigate methods and systems to rapidly generate and alter physical models to synchronise with digital versions.
  To develop an advanced battery monitoring system for single or multi-cell batteries used in standby or emergency power systems
  Dr P Lefley, Dr J Rojas Siles
Applications accepted all year round

Funding Type

PhD Type

By working with the University of Leicester on this industrial MPhil, the company aims to create a new capability ‘in-house’ which will enable them bring their idea of a unique, new, intelligent battery monitoring system to life and have a product design that can then be manufactured and sold to its customers both nationally and further afield (exports to Europe and the USA).
  Knowledge-based Design of Cyber-Physical-Product-Service (CPPS) Systems
  Dr J Milisavljevic-Syed
Application Deadline: 1 September 2020

Funding Type

PhD Type

BACKGROUND. In today’s global market, dynamic market changes due to variations in customer preferences or disruptions in supply chains or during production require global adjustments in production to accommodate these changes and meet the demands in a timely manner.
  Personalized health early warning measure
  Dr T Fitch, Dr M Cocea
Application Deadline: 23 February 2020

Funding Type

PhD Type

Applications are invited for a three year PhD to commence in October 2020. The PhD will be based in the Faculty of Technology, and will be supervised by Dr Tineke Fitch and Dr Mihaela Cocea.
  Multi-view approaches for content-based image clustering
  Prof X Hong, Dr H Wei, Prof J Ferryman
Applications accepted all year round

Funding Type

PhD Type

Human and animal learning are naturally in the so-called semi-supervised mode of learning, i.e. with a limited teaching but more of self-training experiments.
  Robotic and Cyber-Physical Materials
  Dr S Pope
Applications accepted all year round

Funding Type

PhD Type

Robotic or Cyber-Physical materials use embedded sensing, actuation and control to realise novel and improved performance over conventional or passive materials [1].
  Exploring the psychological factors that influence change in online behaviour
  Dr N Davinson
Applications accepted all year round

Funding Type

PhD Type

Psychologists recognise the way in which someone engages with technology can present threats to online security. Phishing attacks and identity theft attempts often arise from unsafe online behaviours, and users have a significant role to play in avoiding such attacks.
  Sustainable wastewater management
  Prof B Ni
Applications accepted all year round

Funding Type

PhD Type

Resources recovery from water and wastewater management through microbial and chemical processes.
  Simulation and modelling of innovative mobility services
  Prof K Burnham
Applications accepted all year round

Funding Type

PhD Type

Modern transportation systems require the utilisation of simulation and modelling approaches for evaluation and impact assessment prior to their deployment.
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