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The University of Manchester, Department of Chemical Engineering & Analytical Science PhD Projects, Programs & Scholarships

We have 20 The University of Manchester, Department of Chemical Engineering & Analytical Science PhD Projects, Programs & Scholarships

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  (iCASE Award) Towards Particle Design of Pharmaceutical Crystals
  Dr A Cruz-Cabeza
Application Deadline: 30 June 2020

Funding Type

PhD Type

This project is being pursued in collaboration with AstraZeneca and the successful applicant will be part of a larger research group supervised by Dr.
  “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.
  Coupled flow-geomechanics for prediction of propagation and collapse of wormholes in matrix acidizing
  Dr M Babaei
Applications accepted all year round

Funding Type

PhD Type

Acidizing is an established technique to stimulate enhanced hydrocarbon recovery from carbonate reservoirs.
  Design of advanced cyclic adsorption processes for complex gas separations
  Dr L Joss
Applications accepted all year round

Funding Type

PhD Type

Gas adsorption is one of the key physical processes that underlie the numerous industrial uses of porous solids. These include separation processes (adsorption and membrane processes), catalytic reactions, energy storage, and gas recovery from unconventional plays.
  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.
  Enabling synthesis of fine chemicals through heterogenized catalysis
  Research Group: Process Development and Integration
  Dr C D'Agostino
Applications accepted all year round

Funding Type

PhD Type

Catalysts are substances that can speed up chemical reactions and/or increase reaction selectivity without consuming themselves. Relative to non-catalytic processes, catalysed reactions perform through more energy efficient routes, in which reactants are able to be used more efficiently.
  Foam Flow in Porous Media: From Fundamentals to Applications
  Dr N Shokri
Applications accepted all year round

Funding Type

PhD Type

During oil production from underground oil reservoirs, only a fraction of oil tends to be extracted during the primary recovery phase, prior to the oil reservoir becoming too depleted to push additional oil out naturally.
  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.
  iCASE: Formulation Behaviour at Complex Liquid-Solid Interfaces
  Research Group: Multiscale Modelling
  Dr F Siperstein, Dr A Patti
Application Deadline: 28 June 2020

Funding Type

PhD Type

A fully-funded iCASE PhD position in Formulation Behaviour at Complex Liquid-Solid Interfaces is available in the Multiscale Modelling Group at the University of Manchester, working with Dr Flor Siperstein and Dr Alessandro Patti, in collaboration with Dr Breanndán Ó Conchúir from IBM Research UK.
  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.
  Low-field NMR studies to probe motion and dynamics in rock pore structures
  Dr C D'Agostino
Applications accepted all year round

Funding Type

PhD Type

Quantification of transport and dynamics in rock pore structures is essential for understanding, optimising and enhancing oil and gas recovery as well as assess the capacity and effectiveness for CO2 storage.
  Molecular modelling insights into the performance of polymeric coatings containing active corrosion inhibitors
  Research Group: Multiscale Modelling
  Dr F Siperstein, Prof X Zhou, Dr C Avendano
Application Deadline: 22 July 2020

Funding Type

PhD Type

Sustainable Coatings by Rational Design (SusCoRD) is a multi-disciplinary project which aims to, for the first time, connect a detailed scientific understanding of the mechanisms of coatings failure with state-of-the-art-machine learning to deliver a framework for the optimisation of protective coatings and nanocomposite materials.
  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.
  Multi-Scale Modelling of Composite Materials
  Research Group: Multiscale Modelling
  Dr P Carbone
Application Deadline: 31 July 2020

Funding Type

PhD Type

Project description A PhD position at the University of Manchester working on “Multiscale Modelling of Polymer Composites” is available starting from September 2020 in the group of Dr Paola Carbone.
  New solution methods for online process scheduling
  Dr J Li
Application Deadline: 30 September 2020

Funding Type

PhD Type

Scheduling is one of the significant managerial tools for the process industries.
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