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surface engineering PhD Projects, Programs & Scholarships

We have 248 surface engineering PhD Projects, Programs & Scholarships

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  Nanoscale Materials for Energy Harvesting
  Research Group: Quantum, Light & Matter
  Dr M Newton
Application Deadline: 31 March 2020

Funding Type

PhD Type

Supervisor. Dr. Marcus Newton. Project description. The development of portable energy harvesting power sources as an alternative to batteries is an attractive prospect that will permit a new class of renewable energy devices that can operate indefinitely.
  Investigating secondary nucleation at the microscale using optical tweezing
  Dr M Haw, Prof J Sefcik
Applications accepted all year round

Funding Type

PhD Type

In secondary nucleation, already formed ‘seed’ primary crystal nuclei generate new secondary nuclei in response to a varied range of stimuli such as mechanical disturbance, shear stress from flow and the presence of impurities.
  Novel approach to control pharmaceutical crystallisation using heterogeneous nucleation
  Dr K Johnston, Prof J Sefcik
Applications accepted all year round

Funding Type

PhD Type

Crystallisation is widely used for purification of commodity and speciality chemicals and pharmaceuticals and for making advanced materials for catalysis, separations and sensing applications.
  Vegetation Mediated Ground - Atmosphere Interaction
  Prof A Tarantino
Application Deadline: 26 March 2020

Funding Type

PhD Type

Rainfall is a major triggering factor of shallow landslides. When heavy and/or prolonged rainfall events occur, water infiltrates into the slope causing pore-water pressures build-up.
  Investigating how tactile cues can influence people’s perception of healthy food.
  Research Group: Applied, Social and Health Psychology Research Group
  Dr C Jansson-Boyd
Applications accepted all year round

Funding Type

PhD Type

Research Group. Applied, Social and Health Psychology Research Group - http://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/applied-social-and-health-psychology.
  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.
  Modelling and predicting flotation froth stability
  Dr P Brito-Parada, Prof S Neethling
Applications accepted all year round

Funding Type

PhD Type

The performance of flotation cells is highly dependent on the behaviour of the froth phase. The phenomena taking place in the froth not only control the water that reports to the concentrate, and thus the entrainment of gangue material, but also have a significant impact on the overall recovery.
  Effect of Induced Plasticity on the Very High Cycle Fatigue of aluminium alloy under biaxial stress field
  Dr M Grasso, Dr H Hadavinia
Applications accepted all year round

Funding Type

PhD Type

One of the most important task in the design process is the assessment of cyclic loading since half of the mechanical failures are due to fatigue.
  Machine learning for Autonomous and Interconnected Vehicles
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical Mechatronic Systems such as autonomous vehicles, and intelligent transportation rely heavily on machine learning techniques for ever-increasing levels of autonomy.
  Simulating Thermal Images for Spacecraft Navigation, Guidance and Rendezvous
  Dr I Martin, Dr K Edwards
Application Deadline: 29 February 2020

Funding Type

PhD Type

Thermal cameras responsive to frequencies in the infra-red range are being considered for future spacecraft landers and orbital rendezvous missions because they can provide information for autonomous navigation systems that may not be available in the visible light range.
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