University of Leeds Featured PhD Programmes
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University of Leeds Featured PhD Programmes
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Aeronautical, Maritime and Transport Engineering (predictive) PhD Projects, Programs & Scholarships

We have 8 Aeronautical, Maritime and Transport Engineering (predictive) PhD Projects, Programs & Scholarships

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  Development of a Hybrid Prognostic Methodology for Predictive Maintenance 4.0
  Dr O Niculita, Prof D McGlinchey, Dr B Alkali
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-004. Knowing when systems need to be maintained is of great importance to companies operating high-value assets. Further, to know ahead of time, with plenty of time to optimize the maintenance and cause the least amount of disruption to the operation, would be highly desirable.
  Reducing Wind Turbine Vibrations using Maximum Entropy (WMUF2019)
  Dr W Midgley, Dr P Fleming
Application Deadline: 1 January 2020

Funding Type

PhD Type

Vibration due to wind loading can cause fatigue damage to the blades and the structure of modern wind turbines. The inherent uncertainty in wind conditions makes controlling these turbines difficult and conservative algorithms are often used to control them.
  Data-Based Automation of Underwater Vehicle Operations
  Dr E Anderlini
Application Deadline: 15 December 2019

Funding Type

PhD Type

Autonomous underwater vehicles (AUVs) have become a fundamental tool for the exploration and study of the oceans. Recent advances in AUV technology have resulted in smaller, cheaper vehicles, with much longer deployment duration and depth rating.
  Multi-hazard risk and uncertainty quantification for rail infrastructure systems
  Dr S Kaewunruen
Applications accepted all year round

Funding Type

PhD Type

The University of Birmingham, as part of a multi-university multi-disciplinary rail research team, has recently been The University of Birmingham is host…
  Joint PhD with RWTH Aachen: Use of machine learning to optimise turbulence modelling
  Prof R Sandberg
Application Deadline: 20 February 2020

Funding Type

PhD Type

Industry relies heavily on turbulence models to make numerical predictions sufficiently affordable. However, in many situations the lack of predictive accuracy of the underlying models limits the impact that computational methods can have on technology development.
  Data-driven and physics-informed wind prediction and turbine control in offshore wind farms
  Dr X Mao
Applications accepted all year round

Funding Type

PhD Type

We are seeking applications from highly motivated, enthusiastic candidates for a PhD position to start as early as possible. This 3-year PhD studentship will cover Home/EU tuition fees and an EPSRC standard tax-free stipend.
  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.
  PhD Studentship Opportunity in Fatigue Assessment of Riveted Railway Bridges
  Dr B Imam, Prof M Chryssanthopoulos
Application Deadline: 15 December 2019

Funding Type

PhD Type

The majority of metallic railway bridges in UK, approximately 10,000 in total, are already exceeding 100 years of age and are approaching the end of their theoretical service life.
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