Mathematical modelling for safe, yet effective, pesticide development and usage

Brief Description:


This project is about creating and analysing a series of mathematical models that can be used to compare and contrast pesticide absorption through leaf surfaces and human skin and to begin to understand how different pesticide components contribute to the optimal solution of high leaf, but negligible skin, penetration. Working with colleagues from Syngenta means that there will be data available to estimate model parameters and to validate the model outputs.


The project is closely linked to the SAMBa CDT ( and the successful student will have access to the wide range of opportunities offered within that CDT and, more widely, within the Department of Mathematical Sciences. There will be many opportunities to participate in research workshops, attend conferences and to meet with colleagues from Syngenta to discuss progress with the project.


Supervisory team:

Dr Jane White (Department of Mathematical Sciences, University of Bath)

Dr Begona Delgado-Charro (Department of Pharmacy and Pharmacology, University of Bath)

Neil Morgan (Syngenta)

Bob Parr-Dobrazanski (Syngenta)

Joshua Fernandes (Syngenta)


How to Apply:

Applicants should apply via the University of Bath’s online application form choosing the PhD programme in Mathematical Sciences. More information on how to apply may be found here:

Early application is strongly recommended as the position will be filled once a suitable candidate is found.


Scholarship Value:

The successful candidate will receive a full studentship including Home/EU tuition fees, a training support fee of £1,000 per annum and a tax-free maintenance allowance of £14,553 per annum (2017/18 rate) for up to 3.5 years.


Informal enquiries:  Dr K A Jane White (lead supervisor)


Nationality:  This studentship is open to UK and EU applicants only.


Application Date: Application will open at January 2018.



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