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Manufacturing (complex systems) PhD Projects, Programs & Scholarships

We have 20 Manufacturing (complex systems) PhD Projects, Programs & Scholarships

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  Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments
  Prof L Mihaylova
Applications accepted all year round

Funding Type

PhD Type

This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large volumes of data and high dimensional systems.
  Modelling growth, deposition and breakage of dynamic particle structures (EPS2020/52)
  Dr V Francia
Application Deadline: 28 February 2020

Funding Type

PhD Type

Investigation of the structure of cohesive powders under various flow regimes. Combining AI driven tools with state-of-the-art computational fluid dynamics (CFD) and discrete element methods (DEM), we will look into how dynamic particle structures form in complex systems.
  Rolls-Royce sponsored PhD Scholarship – Design and Simulation of Stiffness-Adjustable Robotic Systems for Performing on-Wing Repair of Aero-Engines
  Prof D Axinte
Applications accepted all year round

Funding Type

PhD Type

Applicants are invited to undertake a 3 year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering.
  Human-Robot Collaboration for manual intensive complex manufacturing processes
  Dr J Oyekan
Applications accepted all year round

Funding Type

PhD Type

This research is to investigate strategies to achieve safe human-robot collaboration on manufacturing tasks such as composite layup of complex products.
  Design and validation methods for additively manufactured heat exchangers
  Dr JMF Flynn
Applications accepted all year round

Funding Type

PhD Type

With electrification being one of the biggest potential disruptors in modern transport, there is a growing need for lightweight, reliable and efficient thermal management systems.
  Digitising complex large scale manufacturing activities
  Dr J Oyekan
Applications accepted all year round

Funding Type

PhD Type

Large scale manufacturing of large complex products such as aircraft or modular construction often require manual assembly of large sub-components.
  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.
  Context-Aware Data-Driven Approach to Enhance the Wellbeing of Workers in Complex Scenarios (SAM28)
  Dr Yee Mey Goh, Prof M Zecca
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.
  Predictive modelling and design optimisation of erodible drug delivery systems
  Prof R Wildman
Applications accepted all year round

Funding Type

PhD Type

3 year PhD Studentship in Enabling Next Generation Additive Manufacturing. Title. Predictive modelling and design optimisation of erodible drug delivery systems.
  Developing a Computer Aided Design Interface for Multi-Material Additive Manufacturing (3D Printing)
  Dr E Pei
Applications accepted all year round

Funding Type

PhD Type

The next generation of Additive Manufacturing technologies will utilise the combination of different materials at extremely small scales to produce multi-functional structures.
  Modelling Gas Turbine Blade Degradation in a High Fidelity Digital Twin
  Dr J Sumner, Dr N Simms
Application Deadline: 15 December 2019

Funding Type

PhD Type

Sponsored by EPSRC and Siemens Industrial Turbomachinery, this studentship will provide a bursary of up to £18,000 (tax free) plus fees* for four years.
  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.
  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.
  Four-year EngD scholarship with the National Composites Centre: "Robust Automated Preforming Process"
  Prof IK Partridge
Application Deadline: 31 December 2019

Funding Type

PhD Type

Faculty/School/Department. Faculty of Engineering (University of Bristol). Location. National Composites Centre, Bristol (BS16 7FS).
  AI approaches to automate Bill of Materials Validation.
  Prof C Brace
Applications accepted all year round

Funding Type

PhD Type

A Bill of Materials (BoM) is a document that lists all of the components and resources needed to build a product, in this case a vehicle.
  Enabling Effective Transdisciplinary Working with the Automotive Sector
  Prof LBN Newnes
Applications accepted all year round

Funding Type

PhD Type

Over the past few decades transdisciplinarity (TD) has been the subject of increased discourse in the context of large, complex, ill-defined, ‘wicked’ problems.
  Simulation and optimisation of a spacecraft propulsion system based on a Field Reversed Configuration plasmoid using deep learning and machine learning algorithms
  Dr P Shaw
Applications accepted all year round

Funding Type

PhD Type

This project aims to investigate an enabling technology for a more significant and complex system based on a High-Energy Density Electromechanical Thruster based on Stabilized Liner Compression of Plasma that could lead to manned exploration of the Solar system [1].
  Advanced computational fluid dynamic simulations of supercritical CO2 for tracker cooling of the compact muon solenoid at CERN
  Dr M Carnevale, Dr A J G Lunt
Application Deadline: 29 January 2020

Funding Type

PhD Type

Supervisory team. Dr Mauro Carnevale & Dr Alexander Lunt. Project enquiries. [email protected] or [email protected] Project.
  A microstructure-informed model to predict the deformation and shear bands formed during a nickel superalloy machining operation
  Dr H Basoalto
Applications accepted all year round

Funding Type

PhD Type

The School of Metallurgy and Materials is seeking a high calibre candidate for a PhD studentship in materials modelling.
  EPSRC Centre for Doctoral Training in Machining Science (IDC in Machining Science)

Funding Type

PhD Type

The Industrial Doctorate Centre (IDC) in Machining Science is a unique collaboration between industry, the University of Sheffield's Advanced Manufacturing Research Centre (AMRC) and the Faculty of Engineering.
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