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Research Fellow

UCL - Department of Mathematics

Location: London
Salary: £36,770 to £39,843 per annum, inclusive of London Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 28th September 2021
Closes: 7th November 2021
Job Ref: 1879108
 

The department has internationally recognised research groups in pure and applied analysis; fluid mechanics; mathematical physics; geometry and topology; algebra, number theory , combinatorics; mathematical modelling in biology, finance, industry and society.  Applications are invited for a full-time Research Fellow position to work with Dr Philip Pearce. The post is funded by a UKRI Future Leaders Fellowship entitled “Multiscale modelling and control of soft biological matter: Linking biomolecular interactions to macroscopic function”.

In this project, we will build a theoretical framework to predict how macroscopic biological functions emerge from the properties of mesoscopic structures (such as condensates, fibrils and tactoids) formed by interacting microscopic biomolecules. Relevant biological systems include bacterial biofilms and the blood in sickle cell disease. The post holder will focus on building continuum simulations to predict how macroscopic functions in cells and tissues emerge from mesoscopic structures with specified properties.

The responsibilities of the post will include: carrying out vigorous, high-level research into the links between molecular interactions and macroscopic biological function, with a focus on macroscopic processes, developing and running code to model biological systems using continuum simulations, and interfacing with other team members and experimental collaborators. This post is available from 10 January 2022 or as soon as possible thereafter. This post is funded for 4 years in the first instance.

Candidates should have a PhD in Mathematics, Physics, Biophysics, or relevant areas of Computational Biology or Chemistry. Candidates should either have a PhD or equivalent qualification, should be finalising their PhD or waiting for their viva date.  The successful candidate should have experience and knowledge of continuum simulations of Newtonian fluids or complex fluids (including liquid crystals), ideally in a biological context, experience of writing, developing and calibrating simulation code, ideally in a high-performance computing context. They should have a strong interest in biological research and a commitment to high quality research, as well as excellent interpersonal skills to facilitate participation in a research group, mentoring of PhD students, and communication with experimental collaborators. They should have the ability to analyse and write up results and to present complex information effectively to a range of audiences, and show commitment to UCL’s policy of equal opportunity and the ability to work harmoniously with colleagues and students of all cultures and backgrounds.

An outstanding candidate will have experience of research on liquid-liquid phase separation, ideally in a biological context, research on bacterial biofilms, and research on diffusion, advection and/or transport phenomena, as well as experience of building mathematical models in close collaboration with experimental biologists. 

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.

If you have any queries regarding the vacancy or the application process, please contact Adrianna Mickiewicz (a.mickiewicz@ucl.ac.uk).

Informal enquiries may be addressed to Dr Philip Pearce, email: philip.pearce@ucl.ac.uk (Principal Investigator for grant).

Details of 3 referees are required - please do not provide more or less than the required 3 referees.

Latest time for the submission of applications: 23:59.

UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality

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