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Tropical Diseases Modelling Network (TDModNet)

July 27, 2011 in Uncategorized

Tropical Diseases Modelling Network (TDModNet)

TDModNet is a new network for mathematical modellers and their collaborators based in the tropics and working on tropical infectious diseases. There are members with a range of research experience (from graduate student to professor) and expertise (mathematicians, biologists, epidemiologists, malariologists, policy makers, geneticists, bioinformaticists, clinicians). The aim is to provide a forum to build mathematical modelling capacity in the developing world in a self-sufficient way by exploiting the pre-existing structure of the network members.

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PRISM – MAEMOD workshop in Infectious Disease Modelling, Research and Training

August 1, 2017 in News, workshop



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Research Software Engineer@LSTM

July 31, 2017 in Job, News, postdoc

Software Engineer – Research

The Department of Parasitology is seeking a Software Engineer to investigate the impact of drug and insecticide resistance on Malaria Control and elimination programmes using the Open Malaria simulation package

The Liverpool School of Tropical Medicine (LSTM) is an internationally recognised centre of excellence for research in tropical diseases.  Through the creation of effective links with governments, organisations and institutions and by responding to the health needs of communities, LSTM aims to promote improved health, particularly for people of the less developed/resource poorest countries in the tropics and sub-tropics.

The Department of Parasitology is seeking a Research Software Engineer to investigate the impact of drug and insecticide resistance on malaria control and elimination programmes using the OpenMalaria simulation package.  As considerable resources are being invested in this direction, optimal use of these resources can be guided by appropriate computer simulations. We use modern computational power to simulate the entire process of malaria transmission and its impact on human health, burden on local health services, and cost-effectiveness of proposed control interventions using the OpenMalaria simulation platform developed over the last 12 years at the Swiss Tropical and Public Institute in Basel. The Research Software Engineer will be running the Openmalaria simulations and collating the output data in meaningful formats. These data will form part of reports and publications and hence, it is important that the simulation output data are well documented. The jobholder will also update the code as and when new factors are identified during the research. The role entails providing support for other simulation runs in collaboration with our colleagues at Swiss TPH which may require periodic, short visits to Basle  (<1 week duration).

To be successful in this role, it is essential that the applicant has experience in developing, maintaining and running large scale simulations as the software is written in C++ to professional standards, and is open-source, version controlled using git and hosted on Github, with unit testing and continuous integration. The successful applicant must possess good communication skills to work effectively with Scientists internationally. It is not essential for the successful candidate to have knowledge of malaria as this aspect can be learnt during the project, however we expect the successful candidate to demonstrate an interest in infectious diseases and their effective control.

(More details related to OpenMalaria are on (link is external)).

Closing Date: 09th August 2017

This job is unlikely to attract a Tier 2 Certificate of Sponsorship (formerly a work permit).  Applications from candidates who require Tier 2 immigration status to work in the UK may not be considered if there are a sufficient number of other suitable candidates.  To apply for a Tier 2 Certificate of Sponsorship, employers need to demonstrate that they are unable to recruit a resident worker before recruiting an individual overseas

We believe that this post will not be suitable for individuals on Tier 5 visas as these posts are not considered to be supernumerary to the organisation. For further details, please visit the UKVI website: (link is external)

Take a look at some of the great work we have achieved over the past year 2015-2016 by viewing our annual report:

LSTM actively promotes an Equal Opportunities Policy 

To apply online click here


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Health Economics Workshop

July 7, 2017 in workshop


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CBID Summer school in Computational Biology for Infectious Diseases

June 30, 2017 in News, workshop

CBID Summer school in Computational Biology for Infectious Diseases, 2nd edition

ICISE, Quy Nhon, Vietnam

17-24 September 2017

The CBID summer school is designed to provide students, researchers and professionals with basic concepts and hands-on experience in quantitative analyses of high throughput data in health sciences. The school is organized in 5 parallel thematic groups for 8 days including plenary lectures, technical lectures, practicals and group projects. The trainings will be given by leading experts in their fields, with strong teaching experience for beginners. More information at
For: students, researchers and professionals in human, animal and plant health based in Asia. Candidates from the modeling sciences interested in health applications are also welcome to apply.
Level: beginner/intermediate
Language: English, good level required
R: some of the thematic groups use the R software. Some acquaintance with the R language are required for these group, the minimum being to follow the free 4-hour online course before attending the summer school.
Venue: ICISE (International Center for Interdisciplinary Science and Education), Quy Nhon, Vietnam:
Cost: fee and accommodation are covered by the school. Some travel grants are available upon application with justification
Number of places: 90 (18 per thematic group)
Selection: Candidates are selected on CV, letter of motivation, letter of recommandation, and level of English
Application: online (
Deadline: 10 July 2017

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Research Fellow (Chronic Disease Epidemiology)

June 30, 2017 in Job, News, postdoc

The Opportunity

The Epidemiological Modelling Unit (EMU) is seeking a highly-skilled and independent Research Fellow/Senior Research Fellow to undertake a significant leadership role in its non-communicable disease and demographic modelling research agenda. The appointment will be made at a Level B or C, depending on experience.

EMU is housed within the School of Public Health and Preventive Medicine’s (SPHPM) Division of Research Methodology. The Unit undertakes a broad range of epidemiological, statistical and actuarial modelling to determine the likely effectiveness and cost-effectiveness of clinical and public health interventions. EMU undertakes both communicable and non-communicable disease modelling, and is looking to build its expertise and research agenda in the latter.

In non-communicable disease modelling, key collaborations will be the Centre of Cardiovascular Research and Therapeutics, clinical triallists and disease registries within SPHPM, as well as industry and other academics at Monash and elsewhere. Skills in epidemiology, demography, comparative effectiveness research, chronic disease policy and prevention, Markovian processes, Bayesian inference, statistics and computer programming (in platforms such as R) would all be particularly relevant.

A Level C research-only academic is expected to make independent or original contributions to the research effort within her/his field of expertise and to the organisational unit or inter-disciplinary area of which he/she is a part. An academic at this level is expected to play a major role in research, including the exercise of significant leadership in independently building the non-communicable disease modelling research agenda.

A Level B research-only academic is expected to carry out independent and/or team research within the field in which he/she is appointed and to carry out activities to develop her/his research expertise relevant to the particular field of research.

At a Level C, you will hold a PhD in a related discipline, with a strong record of publications, in addition, you will have provided student supervision including supervision of honours students and the co-supervision of PhD students, along with the ability to work independently in a research environment.

At a Level B, you will hold a PhD in a related disciple, and in addition, you will have demonstrated postdoctoral research experience which has resulted in publications, along with demonstrated statistical analysis and manuscript preparation skills.

This role is a full-time position; however, flexible working arrangements may be negotiated.

Your application must address the selection criteria. Please refer to “How to apply for Monash jobs


Dr James Trauer, Head, Epidemiological Modelling Unit, +61 3 9903 0798

Position Description

Download File PD – Senior Research Fellow – Level C

Download File PD – Research Fellow – Level B

Closing Date

Friday 14 July 2017, 11.55pm AEST

Supporting a diverse workforce

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