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Michael Plevin

1 year ago

Purification protocols for industrial bioprocessing University of York in United Kingdom

Degree Level

PhD

Field of study

Artificial Intelligence

Funding

Fully funded by EPSRC

Deadline

Expired

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Country

United Kingdom

University

University of York

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Keywords

Artificial Intelligence
Computational Biology
Protein Engineering
Biosignal Processing
Bioprocess Engineering
Computational Modelling
Purification

About this position

?? Are you interested and passionate about combining ?? AI with cutting-edge ?? bio-processing manufacturing techniques? ?? This fully-funded ??? PhD opportunity is your perfect fit! ??

We're looking for a PhD student for a very interdisciplinary project that aims to model and predict purification protocols for industrial bioprocessing . Our ideal candidate will have strong computational skills, experience in experimental science or engineering, and an interest in protein production technologies. Please get in touch if you're interested.

The project is a collaboration between myself and John Oyekan, PhD, CEng, MIET, FHEA, FRSA
at University of York and Christopher Fox
at FUJIFILM Diosynth Biotechnologies . The 4-year studentship is fully funded by EPSRC and will be part of the IBioIC network. Deadline for applications is 5 January 2025. Funding only covers a student eligible for home rate student fees.


Project abstract:
Purification is a critical step in the manufacture of proteins for research, therapeutic and industrial use, and the annual market serving these sectors is worth billions. Substantial work is required to develop a methodology for the purification of a protein target, with each having a bespoke process including multiple bind/elute chromatography steps. An ideal purification approach would be a generic "flow­ through" process as this would reduce both cost and time, and introduce flexibility. This 4-year fully-funded EPSRC CASE PhD project is a collaboration between the Departments of Biology and Computer Science at University of York and FUJIFILM Diosynth Biotechnologies (FDBK). The goal of the project is to evaluate whether computational modelling and optimisation can predict protocols for flow­-through purification of recombinant protein targets. Flow-­through purification approaches address a real-world need for economic and flexible production of proteins in smaller amounts for more specialised or smaller markets, and would allow low volume production facilities to be located closer to the point of use.

You will work in a highly supportive research environment that bridges academia and industry. You will receive training across all disciplines of the project and spend 3 months working at FDBK, a national leader in field, to gain experience in industrial protein production. This highly interdisciplinary project would suit a graduate in chemistry, physics or engineering who has strong computational skills and experience in practical lab-based research.

Funding details

Fully funded by EPSRC

How to apply

Please get in touch if you're interested.

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