We are not currently advertising any other posts. Anyone interested in collaborative projects, Ph.D. research, post-doctoral research, or visiting positions should contact Professor Coveney.
2 CoMPLEX Research Associates - Simulations of Biological Macromolecules
UCL Department / Division: CoMPLEX
Hours: Full Time
Salary (inclusive of London allowance): £32,699 to £39,523 per annum
Duties and Responsibilities
The 2020 Science programme; a joint collaboration between UCL, Oxford University and Microsoft Research Cambridge, now into its second year at UCL, is focused 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.
Two new posts under the 2020 Science programme, funded for 24 months in the first instance, will join existing Research Associates based in CoMPLEX. The programme is funded by the EPSRC in association with Microsoft Research.
We will appoint two fellows out of six areas of interest; two of these areas (listed below) concern simulations of biological macromolecules. Please view the attached document accessed at the bottom of this page for further details of the projects.
1. High throughput accurate binding affinity calculations for biomacromolecule-ligand systems using molecular dynamics (contact: Prof Peter Coveney, email@example.com )
2. Large scale conformational dynamics and folding pathways of biological macromolecules (contact: Prof Peter Coveney, firstname.lastname@example.org )
Suitable candidates will be highly motivated researchers with a PhD in a relevant area of science, such as: mathematical or computational biology, computational chemistry, computational neuroscience, computer science or biology. Research experience of mathematical or computational modelling of complex natural systems is essential, as well as the ability to conduct and complete research projects, as witnessed by published peer-reviewed work. The post-holders are expected to be exceptional early-stage scientists who will apply for further research fellowship funding during the period of the award. Applicants will be expected to demonstrate experience in the modelling and analysis of complex natural systems appropriate to the individual projects. Experience of analysing and incorporating experimental data into computational models, and proficiency in programming on higher end computing resources would be beneficial.
A job description and person specification can be accessed via the link at the bottom of this page.
To apply for the vacancy please click here.
If you have any queries regarding the application process, please contact Dr. Hugh Martin, email@example.com, (Tel: 020 7679 4802). Informal enquiries regarding the vacancies in the areas listed above can be made to the Peter Coveney, firstname.lastname@example.org.
UCL Taking Action for Equality
Closing Date: 21 Apr 2014
Latest time for the submission of applications: 5pm
This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.