UCL MechEng develops droplet tracking robot helping to discover how Covid spreads
Diagram showing the spread of droplets Scientists at from UCL Mechanical Engineering and UCLH studying how the virus spreads have developed…Read more
This appointment forms part of the EPSRC-funded project ‘Assessing Placental Structure and Function by Unified Fluid Mechanical Modelling and in-vivo MRI’. The award aims to (a) develop mathematical and computational models of blood flow and oxygen transport in the placenta, (b) develop machine learning algorithms to learn placental structures from clinical scans, (c) use the combined tool to investigate pregnancies with complications. The project team spans UCL Engineering (Computer Science, Mechanical Engineering) and King’s College London (Centre for the Developing Brain, based at St Thomas’ Hospital).
To develop mathematical and computational models to describe blood and solute transport in the placenta;
To develop systematic approaches for parameterisation and validation of the computational models against clinical imaging data;
To liaise and collaborate with a multidisciplinary team of clinical, imaging and computer scientists to develop biologically well-grounded models;
To maintain an awareness of research literature that is pertinent to the project;
To contribute to the drafting and submitting of papers to appropriate peer-reviewed journals;
To disseminate research findings at appropriate meetings, workshops and conferences;
To prepare progress reports on research for funding bodies as required;
To contribute to engagement activities, including both public and patient engagement, working with the broader research team;
To contribute to the preparation and drafting of research bids, grant applications and proposals under the supervision of the Investigators;
To contribute to the overall activities of the research team and Department as required.
The post duration is initially 36 months. Extension will be subject to performance and availability of fund.
The successful candidate must have a PhD in mathematics or computational biology. They should have experience of research in biofluid mechanics and significant interest in the of the microcirculation. They must also have sufficient experience in a relevant area thaemodynamicso demonstrate that they have generated and executed independent and collaborative research at a competitive level. Candidates must have a strong track record of publishing their work in research journals, collaborating with researchers from other disciplines, excellent interpersonal, writing and organisation skills, and expertise in programming.