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Chemical Engineering PhD Projects, Programs & Scholarships in Manchester

We have 36 Chemical Engineering PhD Projects, Programs & Scholarships in Manchester

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  Development of microfluidic devices to support actinide analysis
  Dr C Sharrad, Dr B Treves Brown
Application Deadline: 31 December 2019

Funding Type

PhD Type

The primary objective of the project is to develop methods for the analysis of actinide materials using minimal sample amounts and generating the lowest volumes of radioactive wastes requiring costly treatment and disposal processes.
  Processing and characterisation of ceramics for nuclear applications
  Research Group: Coatings and Ceramics
  Prof P Xiao
Applications accepted all year round

Funding Type

PhD Type

The successful candidate(s) will join the ceramic coating group in School of Materials, University of Manchester to develop ceramics for nuclear applications.
  Chemical Looping Technology integrated with dehydrogenation process
  Dr V Spallina
Applications accepted all year round

Funding Type

PhD Type

Advanced energy and chemical plants require new reactors and processes designed to combine high efficiency, attractive economics and reduced pollutant emissions.
  “Smart” scaffolds for preventing post-surgery infections and evaluation in a simulated in vivo microenvironment
  Dr A Anastasiou
Applications accepted all year round

Funding Type

PhD Type

Infections associated with bacterial colonisation around implants and scaffolds is a significant clinical problem both in orthopaedics and regenerative dentistry.
  Multiscale dynamic visualisation framework for industrial mutants design and biological knowledge discovery
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

Current industrial bio-production processes exclusively uses yeast and bacteria as the microorganism hosts to synthesise valuable commercial compounds.
  Development of hybrid machine learning based strategy for bioprocess online control
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  Hybrid dynamic modelling framework for bioprocess digitalisation and optimisation
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  Integrated deep learning and model structure detection strategy for physical laws development and photobioreactor design
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

Designing industrial scale reaction systems and unit operations takes a sophisticate procedure and involves a range of multiscale modelling and experimentation steps.
  Assessing the Behaviour of Endotoxin in Biopharmaceutical Formulations: towards creating improved medicines
  Dr A Golovanov
Application Deadline: 15 November 2019

Funding Type

PhD Type

Supervisors. Dr Alexander Golovanov (The University of Manchester) and Dr Adrian Podmore (AstraZeneca). Biopharmaceuticals are the fastest-growing type of treatments for wide range of diseases, with enormous potential for personalised medicine.
  A New Paradigm in “On Demand” Manufacture: Radiation Chemical Functionalisation During 3D Printing
  Dr A Baidak, Prof F Currell
Applications accepted all year round

Funding Type

PhD Type

The automation of modern economy has an immense impact on our everyday life; the development and implementation of machine learning and artificial intelligence will bring about further socio-economic changes of great significance and scale.
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