£6,000 FindAPhD Scholarship | APPLICATIONS CLOSING SOON! £6,000 FindAPhD Scholarship | APPLICATIONS CLOSING SOON!

Liquid chromatography for clinical silicon photonics

   Faculty of Engineering and Physical Sciences

   Wednesday, August 31, 2022  Competition Funded PhD Project (UK Students Only)

About the Project

Supervisory Team:   Professor Goran Mashanovich (UoS/ZIPN)

Co-Supervisor: Dr David J Rowe (UoS/ZIPN)

Co-Supervisor: Dr Sam Thompson (UoS/Chemistry)

Project description

This ground-breaking PhD project aims to develop a new class of sensors for clinical diagnostics based on cutting-edge silicon photonics research. Adding the capability for chromatography to our existing sensors for mid-infrared absorption spectroscopy will enable more powerful data extraction. This will provide more information for machine learning to improve the accuracy of clinical decision-making.

The project will explore medical applications for this technique with our partners at University Hospital Southampton (UHS). One example is liquid biopsy for cancer diagnostics: we hypothesise this method will offer improved discrimination between cancerous and non-cancerous blood samples without the need for a surgical biopsy.

You will join a larger team working on clinical and oceanic applications of silicon photonics based in the Zepler Institute for Photonics and Nanoelectronics (ZIPN) at the University of Southampton (UoS). This is a multidisciplinary and inclusive community that includes collaborators from Chemistry and Medicine at UoS, the NIHR Southampton Clinical Research Facility at UHS, the National Oceanography Centre Southampton and Physics at the University of York.

The successful candidate will study the detection of biomarkers by designing, fabricating and testing sensors for monitoring their unique spectral absorption fingerprints in order to understand the composition of human blood samples. You will also develop microfluidic chromatography for integration with the photonic sensors to obtain further proteomic and lipidomic information from the same samples. You will be based in ZIPN, where the chromatography and silicon photonics chips will be fabricated in state-of-the-art cleanrooms, and will conduct experiments in both UoS laser laboratories and UHS clinical laboratories. There will be opportunity for you to work with clinicians to define how the sensors are used to maximise the medical utility and societal impact.

For eligible UK applicants, a fully funded PhD place on this project is available supported by an EPSRC Studentship, which comes with a stipend of up to £18,000 (tax-free) with fees paid. For any further information or informal discussion, please contact Prof. Goran Mashanovich (, https://zepler.soton.ac.uk/people/gm1a11) or Dr David J Rowe (, https://zepler.soton.ac.uk/people/dr1y11).

 Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). The project is well suited to graduates of electronic engineering, physics or chemistry but we will consider applicants from other subject areas that can demonstrate relevant expertise.

Closing date: applications should be received no later than 31 August 2022 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding: For UK students, Tuition Fees and a stipend of £18,000 tax-free per annum for up to 3.5 years.

How To Apply

Applications should be made online. Select programme type (Research), 2021/22, Faculty of Physical Sciences and Engineering, next page select “PhD ORC (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Goran Mashanovich

Applications should include:

Curriculum Vitae

Two reference letters

Degree Transcripts to date

Apply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page

For further information please contact:

Email Now

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs