Main Activities and Responsibilities
Knowledge Generation
To undertake high-quality research and scholarship, including contributing to drafting major grant proposals and/or leading on drafting small grant proposals, and evaluating teaching practice.
To contribute to peer-reviewed publications and other outputs, including as lead author.
To make a contribution to doctoral student supervision, as appropriate to qualifications and experience.
To manage small grants or elements of larger grants, ensuring compliance with good practice in relation to the conduct of research, the ethics policy, and other relevant LSHTM policies.
Use geospatial Bayesian models to predict dengue incidence at the second administrative level using current and forecast climate and land use indices.
Design experiments to evaluate D-MOSS forecasts using statistical and epidemiological criteria.
Work with epidemiologists, vector control specialists, and hospital managers in Vietnam and Malaysia to design pre-emptive outbreak response protocols based on D-MOSS forecasts.
Education
Contribute to the delivery of high-quality, inclusive, research-informed teaching and assessment in relation to your specific subject and within the broader area covered by your department and disciplinary field.
Contribute to the improvement of the quality of LSHTM’s education by participating in the development of new and updated learning and teaching materials or approaches.
Develop teaching resources to build capacity for modelling, interpretation, and evaluation of forecasting systems in Vietnam and Malaysia.
Internal Contribution
Undertake activities that support the Department, Faculty, MRC Unit, or LSHTM.
Reflect LSHTM’s EDI goals in your work and behaviour.
Participate in LSHTM’s PDR process.
Participate in Dengue Mapping and Modelling Group meetings and events, as well as wider participation in the Centre for the Mathematical Modelling of Infectious Diseases activities, including informal supervision and skills development of group members.
External Contribution
Demonstrate good external citizenship by contributing to learned society and conference events, journal and grant reviews.
Professional Development and Training
Keep up to date with the latest research and thinking in your academic field and with changes to pedagogic practice within LSHTM and more generally.
Where the length and nature of the position permits, apply for and, if accepted, undertake a doctoral degree if not already acquired.
Undertake and successfully complete the mandatory training required by LSHTM as appropriate to the role.
Acquire and update skills in epidemiological, statistical, evaluation, and data science methods as applied to population health research.
General
All academic staff are free within the law to question and test received wisdom and put forward new ideas and controversial or unpopular opinions to enable LSHTM to engage in research and promote learning to the highest possible standards.
All staff at LSHTM are expected to act at all times in LSHTM’s best interests, treat staff, students, and visitors with courtesy and respect, comply fully with LSHTM policies, procedures, and administrative processes relevant to the role, including when acting as Principal Investigator, uphold and support LSHTM’s values, and act as ambassadors for LSHTM when hosting visitors or attending external events.
Academic Expectations
All academic roles have a statement of academic expectations attached to each level. Role descriptions should be regularly reviewed to ensure they are an accurate representation of the role. The above list of duties is not exclusive or exhaustive, and the role holder will be required to undertake such tasks as may reasonably be expected within the scope and grading of the role.
Person Specification
Essential Criteria
A postgraduate degree, ideally a doctoral degree, in a relevant topic.
Experience developing, fitting, and evaluating predictive time series models.
Contributions to written output, preferably peer-reviewed, as expected by the subject area and discipline in terms of types and volume of outputs.
Proven ability to work independently, as well as collaboratively as part of a research team, and ability to meet research deadlines.
Evidence of excellent interpersonal skills, including the ability to communicate effectively both orally and in writing.
Evidence of good organizational skills, including effective time management.
Advanced experience of using R to manage, analyse, and visualize data including developing re-usable code in collaborative projects using platforms such as Github.
Experience working with population-level infectious disease surveillance data and an understanding of its limitations and how some of these can be overcome using models.
Desirable Criteria
Some experience of contributing to research grant applications.
Some experience of teaching and assessment.
Some experience of supervising and supporting junior researchers, research degree students, or non-academic staff.
Experience working with remotely-sensed climate and environmental data and an understanding of the link between climate and vector-borne disease risk.
Experience working with spatial data and the development of basic geospatial models, e.g., BYM.
Experience developing models in Bayesian frameworks.
Experience of working in outbreaks and health emergencies and awareness of the different control options for outbreak response, ideally for vector-borne diseases.
Experience working with ministries of health or other government departments and an ability to travel internationally 1-2 times a year to attend meetings with stakeholders and collaborators.
Salary and Conditions of Appointment
The post is fixed term until 30 July 2027 and full-time 35 hours per week, 1.0 FTE. The post is funded by the UK Medical Research Council and is available from 01 April 2026.
The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £50,854 per annum pro rata, inclusive of London Weighting.
The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part-time staff, plus discretionary “Wellbeing Days.” Membership of the Pension Scheme is available.
LSHTM operates a Hybrid Working Framework which, alongside agreed service requirements, enables teams to work more flexibly where the role allows, promoting wellbeing and a better work/life balance. Roles based in London are required to work on-site a minimum of two days per week.
Deadline: 19 Mar 2026
