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Electrical & Electronic PhD Projects, Programs & Scholarships in Loughborough

We have 30 Electrical & Electronic PhD Projects, Programs & Scholarships in Loughborough

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  Embroidered ground plane for wearable electronics
  Dr J Flint
Applications accepted all year round

Funding Type

PhD Type

Reference. JFUF2018. Programme name (to be included on the application form). Electronic, Electrical and Systems Engineering. School.
  An integrated approach for damage identification in composite materials
  Dr K Baxevanakis
Application Deadline: 24 May 2020

Funding Type

PhD Type

Non-destructive inspection based on acoustics is today one the primary methods for the identification of damage precursors in components and structures.
  Advanced manufacturing processes to enable the heterogeneous integration of power electronics - Ref: CL1UF2018
  Prof C Liu
Application Deadline: 3 May 2020

Funding Type

PhD Type

Heterogeneous integration of power devices refers to the assembly of separately manufactured power semiconductors, passive components and control elements into a single package, i.e.
  Development of Novel Functional Intermediate Layers for Power Electronics Integration - Ref: CL2UF2018
  Prof C Liu
Application Deadline: 3 May 2020

Funding Type

PhD Type

Power electronics are widely used in electric and hybrid vehicles (EHV), aerospace crafts, renewable power components and traction control systems.
  Cellular Automaton to Model Rapid Crystal Growth and Recrystallisation
  Dr A Roy, Dr K Baxevanakis
Applications accepted all year round

Funding Type

PhD Type

Texture in materials plays a crucial role in metallic products. A thorough study of the underlying morphology and its evolution is relevant for producing cast parts of innovative technological products.
  Development of next generation thin film solar cells
  Prof M Walls, Dr J Bowers
Applications accepted all year round

Funding Type

PhD Type

The provision of clean, sustainable energy is one of the greatest challenges facing modern society and solar photovoltaics (PV) provide the best opportunity for rapidly expanding renewable energy.
  Anti-reflecting and Anti-soiling coatings for solar panel cover glass
  Prof M Walls, Dr P Isherwood
Applications accepted all year round

Funding Type

PhD Type

The provision of clean, sustainable energy is one of the greatest challenges facing modern society and solar photovoltaics (PV) provide the best opportunity for rapidly expanding renewable energy.
  Emerging application of gas plasma technologies
  Dr F Iza
Applications accepted all year round

Funding Type

PhD Type

Gas plasmas generate reactive environments at low temperature that can trigger chemical and bio-chemical processes that are hard to initiate by other means.
  Advanced electron beam sources
  Dr F Iza
Applications accepted all year round

Funding Type

PhD Type

Electron beam technology is a unique technology that enables joining dissimilar and otherwise hard to weld metals with very precise and clean welds while minimizing the heating of the material outside the working area.
  Predicting failure in crystalline materials using machine learning techniques
  Dr A Roy, Dr M Pacella
Applications accepted all year round

Funding Type

PhD Type

Single crystal materials are extensively used in components ranging from the smallest (e.g. micro-lens, MEMS devices) to the largest sizes (e.g.
  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.
  High data-rate communications interconnects for body-worn electronic systems
  Dr C Panagamuwa, Dr R Seager
Applications accepted all year round

Funding Type

PhD Type

In recent years, body-worn electronic systems have gained in popularity and show great potential in the commercial and military sectors.
  Activating Carbon Dioxide Utilising Atmospheric Pressure Gas Plasma
  Dr B Buckley, Dr F Iza
Application Deadline: 31 July 2020

Funding Type

PhD Type

This project will be part of the Doctoral Training Centre on Plasma interactions with Liquids. The Buckley group has embarked on a programme of research directed at carbon dioxide utilisation (CDU) and has reported initial efforts in the area.
  Activation of Carbon Dioxide to the synthesis of Biologically Relevant Molecules
  Dr B Buckley
Application Deadline: 31 July 2020

Funding Type

PhD Type

This project will look at the selective modification of compounds to deliver new/non-natural amino acids/peptides. The approach will use a new carboxylation process developed in our group.
  3D Vision for Robots with Photonic Chip Interferometers (SAM10)
  Prof J Huntley, Dr P Ruiz
Application Deadline: 14 January 2020

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.
  Advanced control for motorcycle stabilisation and crash avoidance (JF1UF2019)
  Dr J Fleming, Dr W Midgley
Application Deadline: 29 February 2020

Funding Type

PhD Type

Motorcycles are involved in a disproportionately high number of deaths and serious injuries on the road. even though motorcycles drove only 0.9% of the distance covered by all vehicles on British roads in 2018, they accounted for 20% of deaths and 23% of serious injuries.
  Advances in control of wind turbines and wind farms (SAM02)
  Dr J Fleming, Dr T Kim
Application Deadline: 14 January 2020

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.
  Battery thermal management system for electric vehicle application (XCUF2019)
  Dr Y Chen, Prof C Garner
Application Deadline: 23 January 2020

Funding Type

PhD Type

The UK Industrial Strategy states that the transition from petrol cars to zero emission electric vehicles (EVs) is crucial for the UK to maintain its international competitiveness in the automotive industry.
  Energy Harvesting-Enabled Self-Powered Sensing for Real-Time Monitoring in Industry 4.0 (SAM06)
  Dr H Fu, Dr S Theodossiades
Application Deadline: 14 January 2020

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.
  Exploration of Techniques to Improve Reliability and Security of Autonomous Vehicles (LOUF2019)
  Dr L Ost
Application Deadline: 5 January 2020

Funding Type

PhD Type

Automotive systems are incorporating safety (e.g., automatic emergency braking) and emerging technologies (e.g., artificial intelligence, machine learning) aiming to enable the vehicles to efficiently react to hazards and unpredictable modifications in their environment.
  Hardware-in-the-Loop: Designing future railway vehicles (PHUF2019)
  Dr P Hubbard, Dr C Ward
Application Deadline: 28 February 2020

Funding Type

PhD Type

Future rail systems have many challenges to overcome to be proved effective, efficient and safe before they will be accepted as a mainstream solution.
  Information and Visualisation Design Methods (SAM01)
  Dr D Segura-Velandia
Application Deadline: 14 January 2020

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.
  Multi-Agent Optimization of Heterogeneous Symbiotic Assembly Systems (PFUF2019)
  Dr P Ferreira
Application Deadline: 29 February 2020

Funding Type

PhD Type

The assembly domain in recent years has been under pressure to deliver highly adaptable and quickly deployable solutions. This lead to the advent of industry 4.0 cyber-physical-systems are expected to enable the “Plug and Produce” concept, which enables truly agile systems.
  New signal processing in mobile communications based on machine learning techniques (AYGUF2019)
  Dr Y Gong, Prof S Lambotharan
Application Deadline: 3 February 2020

Funding Type

PhD Type

While the world is stepping into the 5G era, the demands for higher data throughput and more security will never stop. This requires more efficient signal processing techniques in communications.
  Next generation hybrid-hybrid machining of critical aerospace parts
  Dr A Roy, Dr L Jones
Applications accepted all year round

Funding Type

PhD Type

Please describe the project, up to 250 words. *. The application of laser assisted machining/processing has shown promise in reducing tool wear in the machining of difficult-to-machine aerospace materials, such as, metal matrix composites (MMCs).
  Predicting failure in crystalline materials using machine learning techniques
  Dr A Roy, Dr M Pacella
Applications accepted all year round

Funding Type

PhD Type

Single crystal materials are extensively used in components ranging from the smallest (e.g. micro-lens, MEMS devices) to the largest sizes (e.g.
  Self-powered cardiac implantable devices enabled by energy harvesting from heart motions (HFUF2019)
  Dr H Fu, Prof S Korossis
Application Deadline: 10 January 2020

Funding Type

PhD Type

Nowadays, implantable medical devices are widely used in patient assistance, monitoring, and diagnosis. However, these devices are powered by batteries inside the implants that have limited discharging capability or via transcutaneous power leads connected to wearable batteries.
  Smart bidirectional wireless power transfer for EV applications (ZLUF2019)
  Dr Z Lin, Dr A Cross
Application Deadline: 30 June 2020

Funding Type

PhD Type

Electric vehicles (EV) has been recognised as a low-emission transportation solution and a potential energy storage solution.
  Sustainable Manufacturing of 2D and 3D RFID Tags (DHUF2019)
  Dr D Hutt, Dr D Whalley, Prof A West
Application Deadline: 1 August 2020

Funding Type

PhD Type

Radio Frequency Identification (RFID) is widely used in ID cards and as a method to identify and track products within factories, warehouses and shops.
  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).
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