About the Project
Haematogenous metastasis requires circulating tumour cells (CTCs) to survive transport through the microvasculature, where they are effectively carried by a suspension of red blood cells (RBCs). The complex vessel geometry means that they must navigate branch points and inhomogeneous, flow conditions, before ultimately arresting at a secondary site. CTCs differ markedly from red blood cells (RBCs) in size and deformability as they are typically larger and softer. These biophysical differences…
are known to influence margination, collision frequency, and localisation within vessel networks. However, the relative contribution of pure biomechanics (size, deformability, flow-induced interactions) versus biochemical signalling (receptor-mediated adhesion, mechanosensing, cell–cell signalling) to CTC transport and arrest remains poorly resolved, largely because most in vitro models cannot isolate one variable from the other.
This project addresses that gap using a two-stage, comparative microfluidic strategy: first an analogue (capsule-based) biomimetic model that isolates the mechanics of transport in a controlled, cell-free system, followed by a biological model using isolated blood components and a defined low-abundance population of real breast cancer cells. Comparing the two systems within the same simplified vasculature geometry will allow the mechanical and biochemical contributions to CTC transport to be deconvolved and will test whether mechanics alone is a sufficient, and therefore therapeutically targetable determinant of metastatic cell behaviour in circulation.
The project will leverage the expertise of the two co-supervisors in (a) analogue blood models and micro-haemodynamic rheology, and (b) organ on chip biophysics. It will quantify and compare transport dynamics (trajectory, margination, bifurcation fate, aggregation) between analogue and biological systems to isolate the mechanical versus biochemical contribution to CTC behaviour. This will enable identification of candidate mechanosensing pathways, as possible therapeutic targets for limiting metastatic dissemination.
This project is expected to start in September 2027.
Before you apply:
We strongly recommend that you contact the supervisors for this project before you apply.
How to apply:
To be considered for this project you must complete a formal application through our online application portal. If you already have an applicant account this link will directly open an application for PhD School of Natural Sciences Scholarships. If you don’t already have an applicant account, please follow the instructions here.
When applying, please specify the full title and supervisor/s of the project, details of your previous study, and names and contact details of two referees. You must also upload a Supporting Statement describing your motivation to apply to the project, your CV and transcripts of awarded and in-progress university qualifications. Please note late or incomplete applications will not be considered.
Equality, diversity and inclusion are fundamental to the success of The University of Manchester and central to all our activities. A diverse research community strengthens creativity, productivity and quality, while increasing the societal and economic impact of our work. We welcome applicants from all career paths, backgrounds and sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation or transgender status.
We welcome applications from candidates returning to study after a career break or experience in other roles. Flexible study arrangements may be available, including part-time study at 50%, 60% or 80%, subject to the requirements of the project and funder.
Eligibility: The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in Physics, Mathematics or Engineering (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in Physics, Mathematics or Engineering (or international equivalent). Previous research experience in xxxxxxxx is desirable (if stated). Applicants are preferred to have a strong background in experimental physics and/or theoretical modelling of fluid and soft matter systems and/or scientific computing; - good communication skills (oral and written).
This project will remain open until filled.
If your application is submitted by 1st November 2026, you can expect a decision by 18th December 2026.
If your application is submitted by 15th January 2027, you can expect a decision by 30th March 2027.
Self or externally funded students can also be considered for this project.
FSE_SoNS
Funding Notes
Funding covers tuition fees, an annual stipend at the UKRI minimum rate (currently £21,805 per year), and a research training support grant of up to £2,500 per year for the full 3.5-year programme.