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  Optimisation of enzyme reaction conditions using machine learning. (Ref: RDF21/HLS/APP/TURNBULL)


   Faculty of Health and Life Sciences

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  Dr G Turnbull  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

At the heart of sustainable chemistry is our ability to perform chemical reactions as cleanly and efficiently as possible, something which enzymes are particularly good at. The optimisation of enzyme-catalysed reactions requires many experiments to look at just a small number of variables – a process which takes a lot of time and effort. With continuous flow reactors we can study the effect of altering several variables at a time, using small volumes of reagents, generating a large amount of data in the process which we can use for machine learning.

The successful applicant for this position will design and construct an automated continuous flow system for the optimisation of enzyme catalysed reactions. You will use our 3D printing facility to build prototype devices capable of working with both free and immobilised enzymes, use the system to generate data from a range of sensors, and feed this information into a machine learning model to build automation.

This project should appeal to graduates with a background in chemistry, biochemistry or biotechnology. Experience with CAD, 3D printing, flow chemistry or Python are beneficial but not required, however willingness to learn new skills and develop in these areas is essential. The project supervisor is a keen deliverer of STEM outreach and you will be encouraged to develop accessible materials with which to engage the public in your research, demonstrating how the technology can be of use in our everyday lives.

For more information on the position or for an informal chat please contact Dr Graeme Turnbull at [Email Address Removed]

Eligibility and How to Apply:

Please note eligibility requirement:

·       Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.

·       Appropriate IELTS score, if required.

·       Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.

For further details of how to apply, entry requirements and the application form, see

https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/

Please note: All applications must include a covering letter (up to 1,000 words maximum) including why you are interested in this PhD, a summary of the relevant experience you can bring to this project and of your understanding of this subject area with relevant references (beyond the information already provided in the advert), or that do not include the advert reference (e.g. RDF21/…) will not be considered.

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community.

Biological Sciences (4) Chemistry (6)

Funding Notes

The studentship is available to Home students where a full stipend, paid for three years at RCUK rates (for 2020/21, this is £15,285 pa) and full tuition fees.
* please note: to be classed as a Home student, candidates must meet the following criteria:
• Be a UK National (meeting residency requirements), or
• have settled status, or
• have pre-settled status (meeting residency requirements), or
• have indefinite leave to remain or enter.
If a candidate does not meet the criteria above, they would be classed as an International student.

References

Cellier-Rastit, M; James, AL; Orenga, S; Perry, JD; Robinson, SN; Turnbull, G; Stanforth SP. “Fluorogenic L-alanylaminopeptidase substrates derived from 6-amino-2-heterylquinolines and 7-amino-3-hetarylcoumarins and their potential applications in diagnostic microbiology.” Bioorganic and Medicinal Chemistry Letters, 2019, 29, 10, 1227-1231.
Black, GW; Brown, NL; Perry, JJB; Randall, PD; Turnbull, G; Zhang, M. "A high-throughput screening method for determining the substrate scope of nitrilases." Chemical Communications, 2015, 51, 2660-2662.

Where will I study?