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Manufacturing (predictive) PhD Projects, Programs & Scholarships

We have 7 Manufacturing (predictive) PhD Projects, Programs & Scholarships

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Showing 1 to 7 of 7
  Self-learning Model Predictive Control using Industry 4.0 Principles
  Prof C Theodoropoulos
Application Deadline: 1 December 2019

Funding Type

PhD Type

This project offers an exciting opportunity to work at the interface of Academia and Industry in order to develop.
  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.
  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.
  Full funded PhD Studentship in Multiscale modelling for Materials Design in Additive Manufacturing
  Dr W Wen, Prof P Rivera
Applications accepted all year round

Funding Type

PhD Type

A full PhD studentship on the multiscale modelling for materials design in Additive Manufacturing (AM). The project is led by Dr Wei Wen (Lecturer) and Professor Pedro Rivera at the Department of Engineering, Lancaster University, in collaboration with LPW.
  Numerical modelling of cold recycling of sheet metals
  Dr E Demirci, Prof V Silberschmidt
Applications accepted all year round

Funding Type

PhD Type

This research focuses on assessment of cold recyclability of sheet metal products using numerical simulation and Finite Element simulation along with experimentation.
  Prediction of microscale geometry and performance of 3D-printed medical implants (AGUF2019)
  Dr A Gleadall
Application Deadline: 31 August 2020

Funding Type

PhD Type

Cutting-edge medical implants for bone fracture repair are manufactured from biodegradable polymers because, unlike permanent devices, they are fully absorbed by the body over several months and do not need surgical removal after healing.
  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.
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