Producing a new generation of highly computational natural scientists and tool builders able to apply novel approaches to tackle fundamental problems in natural science.

About 2020 Science

The emphasis of the 2020 Science programme is on producing a new generation of highly computational natural scientists and tool builders able to apply novel approaches to tackle fundamental problems in natural science. The scientific remit of the programme is broad, covering a wide range of challenging problems in the computational modelling of naturally occurring systems, spanning biology and medicine and ranging from molecules to systems to organisms to ecosystems, and the interaction of each with their environment (from extracellular environments at the molecular level to anthropogenic and earth system environments at the global scale).

 

 

Latest News

Royal Society's Inaugural Issue of 'Open Science'

2020 Science Fellow, Dr. Alex Fletcher, was on hand to help support the inaugural issue of the Royal Society's new journal Open Science. Dr. Fletcher is co-author on Oxygen Consumption Dynamics in Steady-State Tumour Models within the first issue and was also interviewed by the Royal Society about the collaborative work and the importance of open science.

Internship on Mathematical modelling of particle transport through asymmetric membranes

Project details
The 2020 Science programme (www.2020science.net) is offering an internship to build on models developed independently by Dr. Maria Bruna and Dr. Ian Griffiths to describe the transport of particulates through spatially varying geometries. The result will be a macroscopic continuum model that captures the complex transport behaviour within such structures, which can be compared with experiments and hence enable optimization through tailored device design. The successful intern will assist in adapting these pre-existing theories and applying the models to this specific problem. A successful internship will provide an opportunity to apply for further funding, while the research also offers an ideal route to working in industry. 
Selection Criteria: The candidate should have achieved or be close to completion of a PhD degree in applied mathematics or a similar discipline. Experience in mathematical modelling and scientific computing is essential. Experience in asymptotic analysis and continuum mechanics is desirable.
Supervisors: Dr Maria Bruna and Dr Ian Griffiths (Mathematical Institute), Geoff Williams (Department of Computer Science).
Duration: 12 weeks (full time).
Salary: £300 p/week
Location of work: Mathematical Institute, Wolfson Centre for Mathematical Biology (WCMB).
Required submission material for candidates: CV, cover letter explaining how the candidate satisfies the selection criteria.
Closing date: 12 Noon 10th Oxtober 2014. Informal enquiries can be sent to bruna@maths.ox.ac.uk.
How to apply 
Please apply by email to job07@cs.ox.ac.uk

Wiggles in the crypt

2020 Science Fellow, Alexander Fletcher, is co-author on a new research paper which looks at the quantification of human intestinal stem cell dynamics from wiggles in the crypt. The full article can be found in the latest issue of Cell Reports.