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condition monitoring PhD Projects, Programs & Scholarships

We have 29 condition monitoring PhD Projects, Programs & Scholarships

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  Methods for inferring junction temperature in IGBT inverters
  Dr K Li
Application Deadline: 30 June 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. This is an exciting opportunity in cutting-edage research of power electronics on-line condition monitoring using innovative methods.
  Artificial Intelligence and Machine Learning to Deliver Enhanced Through-Life Nuclear Asset Management
  Prof S McArthur, Dr B Brown
Applications accepted all year round

Funding Type

PhD Type

The University of Strathclyde’s Advanced Nuclear Research Centre (ANRC) is offering a 3 year fully funded PhD in the field of industrial informatics, to investigate the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques to Prognostics and Health Management (PHM) in the nuclear industry.
  Advanced Data Analytics for Condition Assessment of Smart Grid Power Electronic Systems
  Dr A Aboushady, Dr G Morison
Applications accepted all year round

Funding Type

PhD Type

SCEBE-20-011-AASF. Power converters are becoming an integral part of future smart grids. These provide a necessary interface between the source of power available and the load/network by conditioning the energy flow to meet pre-defined system specs and/or grid code requirements.
  Next generation electrical motor drives for wind and automotive applications
  Dr S Durovic
Applications accepted all year round

Funding Type

PhD Type

The automotive, aerospace, offshore wind and manufacturing sectors are looking for much improved performance envelope electrical machines and drives to underpin ambitions plans for market electrification.
  A combined framework of machine learning and full waveform inversion for electromagnetic sensing of infrastructure (Advert Reference: SF19/EE/MCE/WARREN)
  Dr C Warren, Prof J Martin
Applications accepted all year round

Funding Type

PhD Type

Electromagnetic sensing systems, such as Ground Penetrating Radar (GPR), are critical tools to allow us to evaluate the condition of surface and sub-surface infrastructure.
  Automated Big Data Analysis
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The amount of data in today’s world is ever increasing, and has even led to new terms describing this as in Big Data.
  Digital Manufacturing In-process quality monitoring of friction stir welding - funded by Lloyd’s Register Foundation (NSIRC182 PhD Studentship)
  Mr S Cater, Ms H Stedman
Applications accepted all year round

Funding Type

PhD Type

Background. Friction Stir Welding (FSW) is a solid state joining technique invented at TWI which is used in a variety of industries worldwide.
  Predictive maintenance through advanced data exploitation
  Research Group: Operational Research
  Dr H-D Qi, Prof C Mues
Applications accepted all year round

Funding Type

PhD Type

Based on advanced machine learning concepts, we want to develop predictive maintenance tools for fleets of vehicles.
  Strain-based Monitoring of Damage Creation in Heterogeneous Materials
  Dr W Christian, Prof W-C Wang
Applications accepted all year round

Funding Type

PhD Type

This project is part of a 4-year Dual PhD degree programme between the National Tsing Hua University (Taiwan) and the University of Liverpool (England).
  AI and Machine Learning for the diagnosis and monitoring of Parkinson’s and Alzheimer’s disease
  Research Group: Intelligent Systems and Nanoscience
  Prof S Smith
Applications accepted all year round

Funding Type

PhD Type

The Department has long-standing research collaborations with hospitals and medical centres worldwide developing new approaches to the diagnosis and monitoring of neurological conditions, including Parkinson’s and Alzheimer’s.
  Characterization and early detection of hydrogen embrittlement in offshore boltsusing Acoustic Emission - NSIRC228 PhD Studentship - sponsored by Lloyd’s Register
  Ms H Stedman
Applications accepted all year round

Funding Type

PhD Type

Background. The effect of hydrogen on steel has been the subject of several investigations due to its ability to cause corrosion and cracking which has costly consequences on several industries.
  Detecting and Imaging oral blood vessels for disease monitoring using Heart-Rate Modulated Optical Coherence Tomography
  Dr P H Tomlins
Applications accepted all year round

Funding Type

PhD Type

Background. This project offers an exciting opportunity to develop imaging technology for oral inflammation. Inflammation is an important condition underlying numerous human health conditions.
  Real time evaluation of weld quality during Friction Stir Welding (Industry 4.0)
  Dr Y Tian, Prof A Kennedy
Applications accepted all year round

Funding Type

PhD Type

Background. Friction Stir Welding (FSW) is a solid state joining technique which is being used in a variety of industries worldwide.
  Transforming Food Supply Chain Management System through Blockchain and IoT
  Dr J Marchang, Dr J Wang
Applications accepted all year round

Funding Type

PhD Type

In today’s era of the Internet of Things (IoT) and Industry 4.0, any devices, machines, sensors, objects, and even people and animals can be connected and become part of a network.
  Health Opportunity for Patient Empowerment in Gestational Diabetes (HOPE-GDM)
  Research Group: Chemistry and Biosciences
  Prof A M Graham, Prof R Qahwaji, Prof A Locke
Applications accepted all year round

Funding Type

PhD Type

Gestational Diabetes is a temporary condition diagnosed at 24-28 weeks gestation, where the body is unable to maintain normal blood glucose levels due to insulin resistance during pregnancy.
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