Qualification Type: | PhD |
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Location: | Manchester |
Funding for: | UK Students |
Funding amount: | £19,237 for 2024/25 |
Hours: | Full Time |
Placed On: | 21st June 2024 |
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Closes: | 12th July 2024 |
This 3.5 year PhD is fully funded by the UKRI and FUJIFILM Diosynth Biotechnologies. Tuition fees will be paid and you will receive an annual tax free stipend set at the UKRI rate (£19,237 for 2024/25). This project is only for UK students or those with settled status. The start date is September 2024.
Siemens PSE gPROMS modelling software will be used to build a number of mechanistic/hybrid models describing operations in upstream and downstream processing. These mechanistic models once established will be used, amongst other things, to develop a modelling framework to assist in scale up and technology transfer and an insilico approach to the development of continuous processes based. The project will use as a baseline the mAb solutions platform process and standard downstream operations as modelling modules for these operations using the gPROMS suite. Data from FUJIFILM Diosynth Biotechnologies processes will be used to feed and develop the models which are also expected to be supplemented with information from the £8.7 million Prosperity Partnership project of which Manchester plays a leading role.
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
Before applying, please contact the supervisors: Dr Peter Martin and Dr Mauro Luberti p.martin@manchester.ac.uk mauro.luberti@manchester.ac.uk
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