The University of Twente is offering a Biostatistics PhD position in an inspiring and challenging multidisciplinary and international environment for four years.
This PhD research aims to develop spatial, temporal, and spatiotemporal models that associate overburdened tropical diseases with environmental, socioeconomic, demographic and climatic exposures.
Table of Contents
Scholarship Sponsor | University of Twente |
Scholarships level | PhD Position |
Award Amount | Salary |
Fellowship Period | Four years |
Study area | Biostatistics, Geomatics, Engineering |
Opening date | March 02, 2021 |
Closing date | Open |
Tropical diseases affect more than one billion people, costing developing economies billions of dollars every year. They remain a formidable challenge to the achievement of the Sustainable Development Goal 3 (SDG-3) of ensuring healthy lives and promote well-being for all at all ages. The current sobering trends of tropical diseases like diarrhoea, cholera, malaria, typhoid, and intestinal worms within the sub-Sahara Africa region are the realities of these challenges.
There is considerable optimism about control and reductions in morbidities if knowledge of the spatial dynamics and environmental determinants is well explored. Spatial statistics, when integrated with geo-information and epidemiologic studies, can lead to the understanding of the nature of spatial patterns, the temporal dynamics, and the predisposing factors that contribute to infection.
As interdisciplinary research, it integrates public health and epidemiology with spatial statistics. The study will focus on using primary and secondary data from existing health management information systems within the Sub-Saharan Africa setting. The combined exposure effects of space, time, and space-time will lead to highly parameterized models.
The prospective PhD candidate should have the eagerness to explore the use of the Hierarchical Bayesian estimation method since it allows flexible modelling and inference and provides computational advantages via the implementation of Markov chain Monte Carlo (MCMC, WinBUGS/JAGS, STAN) methods or Integrated Nested Laplace Approximation (INLA).
The study will collaborate with the Ghana Health Services (GHS) and Kwame Nkrumah University of Science and Technology (KNUST)-Ghana.
The applications are open now
Salary and conditions will be following the Collective Labour Agreement (CAO) for Dutch Universities:
Additional information about this position can be obtained from Dr Frank Osei (email: f.b.osei@utwente.nl) and/or Prof. Dr Alfred Stein (email: a.stein@utwente.nl).
Please submit your application before April 15 2021 (choose “apply here” below). Your application should include:
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