Research fellow in modelling vaccine impacts
Applications for this vacancy closed on 7 November 2023 at 12:00PM
We are seeking to appoint a Research Fellow in Modelling Vaccine Impacts to
join Professor Deirdre Hollingsworth’s team at the Centre for Tropical
Medicine and Global Health.
As a Research Fellow, you will be leading research in optimising the use of
vaccines for Lassa fever and Chikungunya in low-income populations. You will
be primarily responsible for considering the dynamics of Chikungunya
transmission, and will also be involved in optimising vaccine allocation for
multiple diseases. This post would be suitable for someone entering infectious
disease modelling from mathematics, computing, or statistics, as well as for
an experienced infectious disease modeller who wants to broaden their
expertise and do policy-facing work.
It is essential that you hold a PhD/Dphil (or close to completion) in a
quantitative research area such as mathematical modelling, computing or
statistics, together with relevant experience. Sufficient specialist knowledge
in the discipline to work within established research programmes in infectious
disease modelling or optimisation is required, alongside strong analytical and
quantitative skills and excellent problem-solving abilities. The ability to
manage own academic research and associated activities and independently lead
research, to work collaboratively with others and to work to deadlines is also
required.
Applications for this vacancy are to be made online and you will be required
to upload a supporting statement and CV as part of your online application.
Your supporting statement must explain how you meet each of the selection
criteria for the post using examples of your skills and experience.
This position is offered full time (part-time may be considered at a minimum
of 22.5h / 0.60FTE) on a fixed term contract until 30 June 2024 and is funded
by the Li Ka Shing Foundation.
Only applications received before 12 midday on Tuesday 7 November 2023 will be
considered. Please quote **167051** on all correspondence.
join Professor Deirdre Hollingsworth’s team at the Centre for Tropical
Medicine and Global Health.
As a Research Fellow, you will be leading research in optimising the use of
vaccines for Lassa fever and Chikungunya in low-income populations. You will
be primarily responsible for considering the dynamics of Chikungunya
transmission, and will also be involved in optimising vaccine allocation for
multiple diseases. This post would be suitable for someone entering infectious
disease modelling from mathematics, computing, or statistics, as well as for
an experienced infectious disease modeller who wants to broaden their
expertise and do policy-facing work.
It is essential that you hold a PhD/Dphil (or close to completion) in a
quantitative research area such as mathematical modelling, computing or
statistics, together with relevant experience. Sufficient specialist knowledge
in the discipline to work within established research programmes in infectious
disease modelling or optimisation is required, alongside strong analytical and
quantitative skills and excellent problem-solving abilities. The ability to
manage own academic research and associated activities and independently lead
research, to work collaboratively with others and to work to deadlines is also
required.
Applications for this vacancy are to be made online and you will be required
to upload a supporting statement and CV as part of your online application.
Your supporting statement must explain how you meet each of the selection
criteria for the post using examples of your skills and experience.
This position is offered full time (part-time may be considered at a minimum
of 22.5h / 0.60FTE) on a fixed term contract until 30 June 2024 and is funded
by the Li Ka Shing Foundation.
Only applications received before 12 midday on Tuesday 7 November 2023 will be
considered. Please quote **167051** on all correspondence.
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Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF
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| oo:formalOrganization | |
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| vacancy:applicationClosingDate |
2023-11-07 12:00:00+00:00
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| vacancy:applicationOpeningDate |
2023-10-10 09:00:00+01:00
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| vacancy:furtherParticulars | |
| vacancy:internalApplicationsOnly |
False
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| vacancy:salary | |
| type | |
| comment |
We are seeking to appoint a Research Fellow in Modelling Vaccine Impacts to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health. As a Research Fellow, you will be leading research in optimising the use of vaccines for Lassa fever and Chikungunya in low-income populations. You will be primarily responsible for considering the dynamics of Chikungunya transmission, and will also be involved in optimising vaccine allocation for multiple diseases. This post would be suitable for someone entering infectious disease modelling from mathematics, computing, or statistics, as well as for an experienced infectious disease modeller ... We are seeking to appoint a Research Fellow in Modelling Vaccine Impacts to
join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health. As a Research Fellow, you will be leading research in optimising the use of vaccines for Lassa fever and Chikungunya in low-income populations. You will be primarily responsible for considering the dynamics of Chikungunya transmission, and will also be involved in optimising vaccine allocation for multiple diseases. This post would be suitable for someone entering infectious disease modelling from mathematics, computing, or statistics, as well as for an experienced infectious disease modeller who ... |
| label |
Research fellow in modelling vaccine impacts
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| notation |
167051
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