---------- Forwarded message ---------- From: Jessica Ohren J.M.Ohren@bath.ac.uk Date: Mon, Nov 6, 2017 at 2:23 PM Subject: Please share: PhD opportunities in Mathematical Sciences at the University of Bath To:
Dear all,
I would be very grateful if you could circulate these opportunities from the University of Bath widely.
Applications to SAMBa - our *Centre for Doctoral Training in Statistical Applied Mathematics* (go.bath.ac.uk/samba) - are now open. We aim to recruit 10-12 students on fully funded scholarships (for UK and EU students) to begin September 2018. A poster and an advert which includes how to apply are attached. You can also find information online: https://www.findaphd.com/search/PhDDetails.aspx?CAID=2444&LID=79. There is no formal closing date but we expect to fill all our places by March 2018 so early application is encouraged.
We also have two individual PhD projects available in collaboration with Syngenta, which are available from 1st January. These are also open to UK and EU students and provide an opportunity to be part of a vibrant, creative and supportive environment in the Mathematical Sciences department here in Bath.
*Mathematical modelling for safe, yet effective, pesticide development and usage.* Lead supervisor: Jane White http://www.bath.ac.uk/math-sci/contacts/academics/jane-white/.
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=86111&LID=79
Closing date: Wednesday 15th November
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.
*Modern statistical techniques for assessing and predicting herbicide performance*. Lead supervisor: Evangelos Evangelou http://www.bath.ac.uk/math-sci/contacts/academics/evangelos-evangelou/.
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=85079&LID=79
Closing date: Wednesday 15th November
This project will be at the interface of statistics and computer science with significant mathematical, methodological, and computational components. You will develop statistical models and methodology for assessing chemical compounds from their descriptive characteristics and their performance on screening tests, and accordingly compute a quantitative score for each chemical. You will apply this methodology to tackle real problems provided by Syngenta using data from their screening experiments on herbicides.
An opportunity is also available to join Bath Maths through a BioMedicine Centre, led from the University of Bristol. The PhD would not start until September 2018 but the closing date is the end of this month.
*Tortoise and hare: Physical activity profiles and their impact on cardiometabolic disease risk*. Bath supervisor: Nicole Augustin http://www.bath.ac.uk/math-sci/contacts/academics/nicole-augustin/.
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=89645&LID=1761
Closing date: Friday 24th November
This project will be best suited to a student with very strong statistical/applied mathematics skills. The student will develop practical skills related to the processing of data in very large datasets, linkage to health records, and the refinement and use of novel statistical methods in survival analyses. This project aims to refine statistical methods, apply these methods to the development of integrated physical activity profiles, and develop a ‘scoring system’ that integrates information from across the activity dimensions to make it easier for people to understand the risks associated with their physical activity profiles.
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Jessica Ohren, Centre for Doctoral Training Administrator
Statistical Applied Mathematics (SAMBa)
Condensed Matter Physics
University of Bath http://www.bath.ac.uk/
4W1.16
Department of Mathematical Sciences
Bath BA2 7AY, United Kingdom | Telephone: +44 (0)1225 385631 <+44%201225%20385631> | Email: j.m.ohren@bath.ac.uk
Follow us on Twitter @SAMBa_CDT
www.bath.ac.uk/samba
