We have an exciting opportunity for a talented junior researcher with strong quantitative background and programming skills to join the Department of Epidemiology and Biostatistics of Imperial College London, to work on the area of spatio-temporal statistics. Funded by the Wellcome Trust, you will work on an international project on “Spatio-temporal dynamics of arboviral diseases in Brazil in a changing climate”. This is a collaboration...
Job listing information
- Reference MED01419
- Date posted 4 September 2019
- Closing date 29 September 2019
We have an exciting opportunity for a talented junior researcher with strong quantitative background and programming skills to join the Department of Epidemiology and Biostatistics of Imperial College London, to work on the area of spatio-temporal statistics.
Funded by the Wellcome Trust, you will work on an international project on “Spatio-temporal dynamics of arboviral diseases in Brazil in a changing climate”. This is a collaboration between the Departments of “Epidemiology and Biostatistics” and “Infectious Disease Epidemiology” of Imperial College with the Department of Epidemiology of the University of São Paulo (Brazil) and the Department of Statistical Sciences of the University of Toronto (Canada).
Duties and responsibilities
By taking advantage of multiple data sources, from remote sensing and in situ data, you will work at the development of a spatio-temporal approach grounded within a Bayesian framework with the following key goals: (i) to examine the spatial distribution and temporal dynamics of arboviral diseases (dengue and chikungunya) in relationship to climatological factors, in presence of changes in the local environmental conditions, (ii) to predict the probability of outbreak of the diseases in space through time with quantified uncertainty.
This project would suit a statistician, mathematician, ecologist, environmental scientist with excellent numeracy and computational skills. You must have a substantial experience in statistical modelling, specifically characterised by spatial and temporal structures, ideally in the context of data assimilation or machine learning. General knowledge of arboviral disease dynamics is desirable.
Required qualifications and skills for this position are:
- Master of Science or equivalent in statistics, mathematics, ecology, environmental science or related area, with a strong statistical background
- Demonstrated training in statistical modelling and other quantitative methods
- Strong programming skills (such as R or Python)
- Experience in data visualization and manipulation of large data sets
- Experience in Bayesian statistical modelling and computation Experience with modern statistical inference tools such as R-INLA, Stan, or with platforms for machine learning such as TensorFlow
Required abilities are:
- Ability to develop and apply new concepts
- Ability to understand and effectively analyse and present complex concepts and data
- Creative approach to problem-solving
- Excellent verbal communication skills and the ability to deal with a wide range of audience
- Excellent written communication skills and the ability to write clearly and succinctly for publication
- Ability to organise own work with minimum supervision
- Ability to write/co-write papers for publication in peer-reviewed journals
- Ability to prioritise own work in response to deadlines
Location: Imperial College London - St Mary's Campus, with research visits to the University of São Paulo – School of Public Health (Brazil).
This fixed-term post is available from 1 November 2019 for 20 months.
Interview date: 14 October 2019
For more information, please contact: Dr Monica Pirani - email@example.com
For technical issues when applying online please email firstname.lastname@example.org
Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
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.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
Athena SWAN Silver Award 2016
We renewed our Silver in the April 2016 submission round. Recognising advancement of gender equality.
Disability Confident leader
Imperial is a Disability Confident leader
Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people