Modelling job opportunities

The Norwegian Institute of Public Health (NIPH) is seeking a talented researcher with strong quantitative skills to join the Department of Infectious Disease Epidemiology and Modelling. The department is part of the Division of Infection Control and Environmental Health, and collaborates closely with NIPH’s research Centre for Antimicrobial Resistance (AMR-Centre). We are also a partner in BigInsight , a centre for research-based innovation within statistical and machine learning technologies, supported by the Research Council of Norway. The position offers the opportunity to work at the intersection of infectious disease epidemiology, mathematical modelling and statistics (3 years contract). We have ongoing research relating to development of network models, individual-based models to analyse the spread of antimicrobial resistance, and age-structured meta-population models for use in preparedness planning in Norway. The particular focus of the post doc will be determined according to the interests and background of the candidate We offer the opportunity to conduct cutting-edge quantitative research within infectious diseases using novel and rich data sources. NIPH’s laboratory diagnostics increasingly rely on genomic information and we want to further develop and expand our analytical competence to use available data sources to their full potential. The position holder will be part of a dynamic department of around 20 researchers from diverse academic and professional backgrounds, including statistics, bioinformatics, modelling and epidemiology. The Norwegian Institute of Public Health is a Public agency and national competence institution for governmental authorities, health services and the general population. The aim of our research is to evaluate and ...
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An excellent opportunity has arisen for a Research Associate to join research teams based within Bristol Veterinary School and School of Cellular & Molecular Medicine at the University of Bristol. The post is available on a full-time basis (although part-time will be considered) with funding until April 2021 via MRC OH-DART grant. You will join an international multidisciplinary team working of microbiologists, mathematical modellers, epidemiologists, veterinarians and social scientists from UK and Thailand. You will undertake mathematical modelling and epidemiological analyses focused on describing complex One Health systems of the drivers of antimicrobial resistance in the environment, in animals and in humans in Thailand. You will develop technical aspects of modelling and epidemiological analyses and will collaborate with other modellers and epidemiologists in this team. You will also work closely with the experts in policy analysis to develop online tools for decision makers based on the complex models (e.g. in R Shiny) and with your Thai counterpart and the rest of the multidisciplinary team. You will need a strong mathematical background with preferably a PhD degree in a relevant quantitative subject. We are looking for an applicant with experience in infectious disease mathematical modelling and computational analysis. You must have experience of developing and programming dynamical models (in C or R, or similar), the ability to design and analyse large scale modelling experiments involving data and uncertainty. You will need excellent communication and project management skills to ensure delivery as well as skills in reviewing the non-modelling literature and undertaking ...
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Dr Thomas Prowse and I have a top-up scholarship available to work on a project Modelling Multi-strain RHDV Dynamics in Exotic Rabbits. This is an exciting project that will focus on developing methods for fitting stochastic, multi-strain, coupled ecological-epidemiological models to spatio-temporal data, and, using one of the best available time-series datasets in disease ecology, will address applied questions in rabbit biocontrol.   The Centre for Invasive Species Solutions (CISS, https://invasives.com.au/) will support the PhD student with $10k per annum in top-up to their RTP scholarship, $7k per annum for operating expenses, and additional support to attend training courses and conferences. Through CISS, the student will also be mentored by leading applied researchers and modellers from across Australia.   Applicants would need to be successful in their application for a PhD project and RTP scholarship in the School of Mathematical Sciences at the University of Adelaide. If you are interested, then please contact me (joshua.ross@adelaide.edu.au) or Thomas (thomas.prowse@adelaide.edu.au) for further information ...
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An exciting opportunity to work on a collaborative project exploring regionally coordinated strategies to prevent the dissemination of antimicrobial resistance (AMR) through the Victorian healthcare system. This project will link Victorian patient admission datasets with existing and prospectively collected genomic microbiologic data through applying network analysis and modelling methods to characterise and simulate intra- and inter-hospital 'patient movement networks'. As part of the research team you will help to describe the role of shared patient populations as 'bridges' between hospitals via which AMR can spread and explore how a detailed understanding of these referral networks can translate to effective and efficient policy decisions. http://careers.pageuppeople.com/513/cw/en/job/587166/research-fellow-infectious-diseases-network-analysis-and-modelling https://www.seek.com.au/job/38344039?searchrequesttoken=2c678f9c-6dac-41f5-ba75-171aad0b0d1e&type=standard ...
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Two vacancies for infectious disease modellers working on AMR in the Modelling & Economics Unit, Public Health England Durations: one permanent; one 1-year Salary: minimum £38,975 Closing dates: 6 Mar 2019 (permanent post); 7 Mar 2019 (1-year post) Details (if the links don’t work then please copy in to a browser): Permanent post: https://www.healthjobsuk.com/job/v1563452 Post until 31 Mar 2020: https://www.healthjobsuk.com/job/v1576074 Most members of the Modelling & Economics Unit have honorary positions with leading universities (mostly LSHTM and Imperial College); similar arrangements can be explored with the post holder. For further information please contact julie.robotham@phe.gov.uk Dr Peter J White PhD *Head, Modelling & Economics Unit, National Infection Service, Public Health England *Reader in Public Health Modelling, Dept. of Infectious Disease Epidemiology, Imperial College London (p.white@imperial.ac.uk) *Deputy Director, NIHR Health Protection Research Unit in Modelling Methodology *Personal webpage: www.imperial.ac.uk/medicine/people/p.white MRC Centre for Global Infectious Disease Analysis (formerly Centre for Outbreak Analysis & Modelling), Department of Infectious Disease Epidemiology, Imperial College School of Public Health, Norfolk Place, London, W2 1PG, United Kingdom ...
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Influenza dynamics at the animal-human interface in relation to swine production systems in Cambodia Principal supervisor: Dr James Rudge (LSHTM) Co-Supervisor: Dr Guillaume Founié (RVC) Co-Supervisor: Prof Graham Medley (LSHTM) Award includes tuition fees and a stipend of £16,777 including London Weighting (at 2018/19 rates, so slightly higher for 2019 entry) 100% FTE for 3 years, from September 2019. Closing date for applications is: 31st March 2019 Project Description: Influenza pandemics evolve undetected in animal hosts for several years before detection in humans, and the role of swine in the 2009-H1N1 pandemic is well documented. However, little is known about the ecology and evolution of influenza viruses in pigs, particularly in Southeast Asia, where surveillance is limited, and conditions are fertile for virus re-assortment and pandemic emergence. Consumption and production of livestock in this region has increased dramatically in recent years, with livestock systems undergoing rapid change. The implications for zoonotic and pandemic disease emergence remain unclear but are likely to be profound. In Cambodia, for example, the supply of pigs still relies largely on smallholders with low biosecurity, along with importation of pigs from neighbouring countries. However, numbers of larger-scale intensive farms are increasing, and often located in close proximity, or otherwise connected (e.g. via trading and contract farming), to smallholder systems. A better understanding of influenza dynamics at the swine-human interface is needed to identify where risks of zoonotic transmission and virus re-assortment are highest, and how these risks are influenced by livestock practices. This project will aim to characterise influenza dynamics in ...
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The infection Analytics team at UNSW Sydney is seeking a post-doc / research fellow in mathematical biology, to model infection dynamics in malaria infection. The Infection Analytics Program at the Kirby Institute is an interdisciplinary team including applied mathematicians, physicists, and computer scientists, who collaborate widely with around 30 experimental groups around the world to model within-host and epidemiological aspects of infection and immunity. The group has a high publication output and a strong history in successful interdisciplinary training. It is an ideal venue for students with a quantitative background (mathematics / physics / statistics) aiming to establish themselves in mathematical biology. UNSW Sydney is a ‘top 50’ ranked global university, situated 5 km (3 miles) from Central Sydney, and 1.5 km (1 mile) from Sydney’s beaches. About the role $75k- $123k plus 9.5% superannuation and leave loading 2 years Full-time or part-time. The position of Post-Doctoral Fellow will be responsible for mathematical modelling of experimental data from animal models and human infection. This will involve developing familiarity with the malaria literature and underlying biology, biostatistical analysis, and ODE and stochastic modelling. About the successful applicant To be successful in this role you will: Demonstrated mathematics, statistics, or computer programming skills relevant to modelling of experimental data. Interest in modelling in immunology and infection dynamics. Proven evidence of publications in peer reviewed journals Success in funding applications, student supervision and superior publication output required at the higher levels Post graduate degree, preferably PhD, in mathematics / physics/statistics or other quantitative ...
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We are hiring for postdoc, RA, and software developer positions to work on individual-based modeling of malaria drug-resistance evolution. Ads here: Please share with anyone you think may be interested ...
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Vacancy Type/Job category Research Only Department Warwick Medical School, Clinical Trials Unit Salary £30,395 - £39,609 per annum Location The University of Warwick, Coventry Vacancy Overview Full-time Fixed term contract until 31.10.19 in the first instance with possibility of an extension. Warwick Medical School (WMS) wishes to appoint an ambitious researcher to an exciting post-doctoral position at one of the UK’s leading universities. You will work on a research programme, funded by the Department of Health Policy Research Programme, aimed at generating new evidence on the cost-effectiveness of interventions targeted at infectious diseases in England. The precise infections and interventions considered will by driven by Department of Health policy makers, but the initial focus will be on finalising an individual-based model of the effects of PCV (pneumococcal conjugate) vaccines. You will be based in Warwick Clinical Trials Unit, Warwick Medical School, but will work closely with other researchers at the University of Warwick with considerable expertise in this area, particularly colleagues at the Warwick Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER). Close working and regular communication between the post holder and the other mathematical modellers and health economists will be crucial to the successful delivery of the research programme. You will have day-to-day responsibility for the development of transmission models, including parameterisation of the models through critical reviews of relevant literature and analysis of appropriate datasets, identification of knowledge gaps and, where appropriate, primary research aimed at addressing those gaps. In collaboration with the other mathematical ...
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CALL FOR APPLICATIONS FOR RESEARCH POSITIONS (BIOMATHEMATICS) The Center for Mathematical Sciences (Centro de Ciencias Matemáticas, CCM) is one of the top five institutions dedicated to mathematics research in Mexico. It is situated in Morelia and belongs to the National Autonomous University of Mexico (Universidad Nacional Autónoma de México, UNAM), one of the largest and most important universities in Latin America. See the home page of the CCM for more information: www.matmor.unam.mx Tenure-track faculty position - October 2018 - Call for Applications DEADLINE FOR APPLICATIONS: December 31st, 2018 STARTING DATE: First semester 2019 (flexible) The CCM is inviting applications for a tenure-track faculty position to start between 1 February and 1 March 2019. Preference will be in the area of Biomathematics and related fields. The CCM currently has 24 faculty members working in the following areas (www.matmor.unam.mx/en/research): Algebraic Combinatorics, Algebraic Geometry, Algebraic Topology, Biomathematics, Classical and Quantum Gravity, Differential Geometry, Discrete Geometry, Dynamical Systems, Foundations of Quantum Theory, General Topology, Mathematical Logic and Foundations, Number Theory, Partial Differential Equations, Representation Theory. Applications are welcome in these and related areas. This position will be in the area of Bio-mathematics. The CCM currently has 24 faculty members, see www.matmor.unam.mx/en/research, for more information. The positions are foremost research oriented, but also include teaching duties of one course per semester at the graduate or undergraduate level. Further duties include supervision of students at the graduate (masters and PhD) and undergraduate level. Participation in academic-administrative tasks is also expected as well as in outreach activities. For the first few ...
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