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Mechanical Engineering (analytics) PhD Projects, Programs & Scholarships

We have 16 Mechanical Engineering (analytics) PhD Projects, Programs & Scholarships

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  Analytics to interpret acoustic emission generated by geotechnical infrastructure assets
  Dr A Smith
Applications accepted all year round

Funding Type

PhD Type

Proportions of the energy dissipated during deformation of particulate materials are converted to heat and sound. The high-frequency (>10kHz) component of this sound energy is called acoustic emission (AE).
  Adaptive Predictive Simulation Modelling Using the Digital Twin Paradigm
  Dr Ed Apeh, Prof V Katos
Application Deadline: 2 June 2019

Funding Type

PhD Type

Structural integrity management (SIM) involves the application of qualified standards, by competent people, using appropriate processes and procedures throughout the structure’s life cycle, from design through to decommissioning, to ensure that through an ongoing process of risk management the structure’s continued fitness-for-purpose (FFP) is maintained.
  Unlocking the Power of Data in the Shipping Industry
  Dr A Coraddu
Applications accepted all year round

Funding Type

PhD Type

For the Shipping Industry, the Information Age means the availability of ever-growing amount of data coming from multiple sensors present on-board.
  Intelligent Health Monitoring and Distributed Decision Support
  Prof V Kadirkamananthan
Applications accepted all year round

Funding Type

PhD Type

Management of complex systems requires analysis and fusion of a diverse type and quantities of data and models of subsystems to provide inference on the state of health and decisions on maintenance actions that need to be taken.
  Knowledge based process planning using manufacturing big data
  Dr X Zhang
Applications accepted all year round

Funding Type

PhD Type

In the era of the fourth industrial revolution, dubbed as Industry 4.0, manufacturing resources will be digitised and integrated into a digital ecosystem of manufacturing network.
  New Digitalisation Processes and Digital Twins for Aerospace Engineering
  Prof R Kalawsky, Dr M King
Application Deadline: 7 June 2019

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  GE Aviation PhD studentship: Opto-avionics
  Research Group: Photonic Systems Circuits & Sensors
  Dr C Holmes
Application Deadline: 31 August 2019

Funding Type

PhD Type

This 3.5 year PhD position is partnered with GE Aviation, a global leader in commercial, military and business aircraft. In this studentship you will advance optical fibre sensor technology for predictive maintenance of rotorcraft.
  Prestigious Strathclyde/NPL PhD Studentship: Structural Health Monitoring of Critical Energy Infrastructure with Predictive Maintenance
  Dr P Niewczas, Dr V Livina
Applications accepted all year round

Funding Type

PhD Type

The lack of risk-predictive algorithms limits the ability of engineers to perform predictive maintenance of infrastructure objects.
  Visualizing architectural inter-relationships and uncertainties between constituent systems within a systems of systems
  Prof R Kalawsky, Dr M King
Application Deadline: 7 June 2019

Funding Type

PhD Type

This studentship is a terrific opportunity to research exciting new aerospace digitalisation techniques that will support Industry-4.0 concepts, including digital-twin and next generation interactive visualization.
  Development of a Model Based Systems Engineering Framework / Ecosystem to Support “Resilience Engineering” for Complex Automotive Systems
  Research Group: Automotive Research Centre‌
  Prof F Campean
Applications accepted all year round

Funding Type

PhD Type

The design paradigm for automotive systems faces significant challenges from the evolution towards the vision of the future car as a mobile smart device that is substantively defined by its symbiotic interaction and integration with its environment, supporting increased levels of autonomy as well as user-centric service innovation.
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