Integrating Nano-devices with Microfluidic Systems


   School of Physics, Engineering and Technology

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  Dr Mohammad Nasr Esfahani  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Nanodevices enable high resolution bio-detections for digital healthcare applications. In this respect, point-of-care (POC) devices have a critical role in rapid diagnosis, prevention and treatment of human diseases. Binding is a key factor in the biosensor performance. To achieve a good performance of biosensors, one needs to examine the biomolecular interactions with sensors. Transferring bio-molecules into the sensing platform is the fundamental challenge to use nanostructures for biosensing purposes. This project aims to introduce a novel platform to understand the mass transport and binding kinetic process in microfluidic integrated biosensors. This includes a comprehensive flow behaviour analysis for a single bio-molecule detection followed by a systemic binding kinetic model of various species into pre-defined nanosensors. This project will have a wide range of applications from drug discovery to medical diagnostics, to food safety, to agricultural and environmental monitoring. 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.

Successful applicants will have access to the School of Physics, Engineering and Technology Cleanroom and work closely with the Bioinspired Technologies Laboratory. This project suits applicants with background in materials science, mechanical engineering, physics, chemistry, biophysics, biological sciences or a related discipline. Having knowledge and experience with computation mechanics, including computational fluid dynamics (CFD) and/or finite element methods (FEM), is essential. 

For more details about this project, please contact Dr M. N Esfahani, email: [Email Address Removed]

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 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. To apply, please select the PhD in Electronic Engineering for October 2023 entry. Please specify in your PhD application that you would like to be considered for this studentship.


Biological Sciences (4) Engineering (12) Materials Science (24) Physics (29)

Funding Notes

This studentship will cover the tuition fee at the home rate (£4,596 in 2022/23) and a stipend at the standard research council rate for a period of up to 3.5 years (£17,668 in 2022/23). International candidates are also welcome to apply but will be required to pay the difference between the UK and international tuition fee rates (approximately £20,000 per year for the duration of the programme).

Where will I study?