This position involves working within the Mathematical and Economic Modelling team (MAEMOD) at Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University on cutting-edge inferential techniques for infectious disease analysis, focusing on Malaria (1 position) and Tuberculosis (TB) and Neglected Tropical Diseases (NTD) (1 position).
The work focuses on retrieving existing data and other evidence on the Thai context, visualise and anlayse and conduct a modelling study. Using mathematical modelling to further explore some what-if scenarios given some changes due to some reduction of global funds to support the control programme, re-prioritizing of budget and resources due to the COVID-19 pandemic and other issues such as drug resistance for example.
Communicating the models to other disciplines and engage them into the tasks of prevention & control, or even elimination on the national level will be particularly challenging due to the suspension, in the face of the COVID-19 pandemic. Computer tools and innovation may be required to make this work successful.
Duties and responsibilities
This post provides an opportunity to develop mathematical model to capture the dynamics of infectious diseases in both spatial and temporal dimensions in the Thai context during a critical moment in the ongoing fight against the world’s highest burden infectious diseases.
Major components of the role will include fostering collaborations with global partners such as national malaria/TB control programmes, international research collaborators and other stakeholders involved in Malaria, TB and NTD research. The candidate will play an active role in the dissemination of results and communicate the outputs to various groups of people through meetings, networking events and international conferences. Training and supporting other members of the teams on different occasions are expected.
You should have a PhD or equivalent in bioinformatics, infectious disease epidemiology, mathematical modelling, population biology, statistics or similar discipline. You should also have experience of developing new methods for research and of publishing in leading scientific journals. Knowledge of programming in a language appropriate for open source software (eg: C++, Python, R or similar) is essential for this role.
This post is full time and fixed term until 30 September 2023 and will be based at the research unit based at Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within lowering salary range stated.
The salary will be based on MORU scales and will depend on experience and qualifications. The salary package includes:
- 13th months of salary
- health and life insurance
- social Security
- provident Fund
- 20 days of annual leave
The successful applicant should have good communication skills. Interested applicants please submit your applicant with detailed resume to Associate Professor Wirichada Pan-ngum: firstname.lastname@example.org or Mrs. Sureeporn Thongkuna: Sureeporn@tropmedres.ac