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  Mathematical Tools for Analysing Binding Kinetics in Biosensors


   School of Physics, Engineering and Technology

  , Dr John Bissell  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The history of biosensors exhibits an outstanding range of examples of simple ideas leading to revolutionary break-throughs. There are numerous fields requiring technologies for rapid and sensitive detection of chemical and biological molecules, such as medical diagnosis, environment monitoring, food and agricultural safety, and pharmaceutical industries. Indeed, healthcare alone accounts for extraordinary market growth in biosensors, with applications ranging from diabetes and heart disease, to cancer and chronic respiratory conditions.

With advances in nanotechnology, miniaturized biosensors have been developed with a single molecule detection limit, as well as nanomaterials with bio-interfaces to mimic biological signalling. To support these technologies, computational and mathematical modelling techniques are required to assist design and implementation of biosensors for optimal performance. A major outstanding challenge in the successful development of biosensors, is the problem of quantifying the sensor binding kinetic.

The purpose of this project therefore, is to develop new mathematical and computation tools for analysing binding kinetics in biosensors, with a focus on assisting next generation technologies for rapid and effective diagnosis. This project has a wide range of applications including medical engineering, healthcare, environment monitoring, food safety, and pharmaceutical industries.

This project will suit applicants with backgrounds in materials science, mechanical engineering, mathematics, physics, chemistry, or a related discipline.

For further information about this project, please contact either Dr M. N. Esfahani (email: ), or Dr J. J. Bissell (email: ).

Entry requirements:

Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.

How to apply:

Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.


Engineering (12)

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website View Website for details about funding opportunities at York.

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