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Creating an imaging system with Artificial intelligence for bioreactor optimisation


   Faculty of Engineering and Physical Sciences

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  Dr Peter Glynne-Jones  No more applications being accepted  Competition Funded PhD Project (UK Students Only)

About the Project

Supervisory Team:   Peter Glynne-Jones;  Martyn Hill

Project description

The aim of this project is to develop a flexible, high-throughput imaging system that can monitor human cells in a vaccine production bioreactor. The project will work closely with a local company that is already producing vaccines in bioreactor systems. 

Samples will be continuously drawn through a microfluidic channel and aligned with acoustic focussing to present them to the optical imaging system. Using real-time artificial intelligence (AI) algorithms, the system will seek to optimise the growing conditions to maintain reliable cell growth. Having this feedback system is of great interest as maintaining bioreactors in good condition is not simple. Using machine learning (AI) to optimise, monitor and assess biological systems is a growing area in great demand in related areas of diagnosing disease, developing new drugs and research into cell biology.

You will join a world-leading research group that is pioneering a range of cell imaging and microfluidic systems with a particular focus on acoustic particle manipulation. 

The project will require you to acquire skills in a wide range of areas: microfluidic design, imaging, machine learning, electronics, ultrasound and programming. A background in some of these would be ideal, but we can provide training to support whatever experience you bring. We are looking for an exceptional candidate who is able to learn additional skills as necessary.

If you wish to discuss any details of the project informally, please contact Peter Glynne-Jones, Mechatronics research group, Email: [Email Address Removed]

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

 Closing date: applications should be received no later than 31 August 2022 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding: For UK students, Tuition Fees and a stipend of £15,609 tax-free per annum for up to 3.5 years.

How To Apply

Applications should be made online. Select programme type (Research), 2022/23, Faculty of Physical Sciences and Engineering, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Peter Glynne-Jones

Applications should include:

Research Proposal

Curriculum Vitae

Two reference letters

Degree Transcripts to date

Apply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page

For further information please contact: [Email Address Removed]

The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.

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