Research Associate in Mathematical Modelling
Applications are invited for the post of Research Associate to the Health Protection Research Unit (HPRU) in Modelling Methodology based within the Department of Infectious Disease Epidemiology at Imperial College London. The HPRU has a core mission to develop novel analytical and computational tools to improve public health. The HPRU is led by Professor Neil Ferguson and Dr Peter White. Dr Marc Baguelin is HPRU theme leader on Respiratory...
Job listing information
- Reference MED00874
- Date posted 8 November 2018
- Closing date 9 December 2018
Applications are invited for the post of Research Associate to the Health Protection Research Unit (HPRU) in Modelling Methodology based within the Department of Infectious Disease Epidemiology at Imperial College London. The HPRU has a core mission to develop novel analytical and computational tools to improve public health. The HPRU is led by Professor Neil Ferguson and Dr Peter White. Dr Marc Baguelin is HPRU theme leader on Respiratory Infections. For more information about the HPRU in Modelling Methodology, see https://www.imperial.ac.uk/hpru-modelling.
We seek a mathematical modeller to develop innovative models and inference methodology to improve our understanding of the spatial spread of pandemic and seasonal influenza, and to use these models to evaluate the impact of control strategies (in particular vaccination) in the short and long-term in order to inform public health policies.
With the emergence of a new pandemic strain in 2009, the constant threat from cross-species emergence and the recent decision by the UK Joint Committee on Vaccination and Immunisation to extend seasonal vaccination to school-aged children, there are few public health issues currently of greater importance than influenza transmission in terms of impact on the health of society. This project will contribute to the innovative research required to identify and rigorously evaluate optimal responses to the threat from circulating respiratory viruses.
The post is funded by one of the NIHR-funded HPRUs led by Prof Neil Ferguson and focussing on Modelling Methodology. It will be undertaken as part of the Respiratory Infections theme of the HPRU. The post-holder will gain valuable experience working closely with epidemiologists, statisticians and modellers both at Public Health England and Imperial College.
Duties and responsibilities
We are seeking an able mathematical modeller with proven high-level skills in statistical inference and computational statistics.
Candidates will require a PhD in one of the following areas: infectious disease epidemiology, population biology, mathematics, statistics, theoretical physics, computer science or a similarly quantitative discipline. You will also require a first degree in a scientific or mathematical discipline. You will also have postgraduate experience of developing dynamical models of biological or physical systems and of parameter estimation with such models and the ability to present information effectively at meetings, and give positive input to discussions at meetings
This post is full time and fixed term for 12 months in the first instance and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.
Interested candidates should contact Dr Marc Baguelin (firstname.lastname@example.org) or Professor Neil Ferguson (email@example.com).
Interviews are expected to be held approximately 2 weeks after close. Applicants who are invited for interview will be asked to give a short presentation explaining how they meet the selection criteria.
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
All Imperial employees are expected to follow the 7 principles of Imperial Expectations:
- Champion a positive approach to change and opportunity
- Communicate regularly and effectively within, and across, teams
- Consider the thoughts and expectations of others
- Deliver positive outcomes
- Encourage inclusive participation and eliminate discrimination
- Develop and grow skills and expertise
- Work in a planned and managed way
In addition to the above, employees are required to observe and comply with all College policies and regulations.
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Athena SWAN Silver Award 2016
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