News

Call for 5 PhD Researchers on Project COLOSSUS

Come work with us in Lisbon @cE3cResearch (https://ce3c.ciencias.ulisboa.pt/sub-team/landscape-epidemiology-and-wildlife-diseases) on data-driven modelling of animal tuberculosis, mammal ecology or science communication in infectious diseases at the wildlife-livestock interface.

Project COLOSSUS: Control Of tubercuLOsiS at the wildlife/livestock interface uSing innovative natUre-based Solutions” funded by Fundação para a Ciência e a Tecnologia, I.P./MCTES through national funds (PIDDAC), cofinanced by Programa Operacional Competitividade e Internacionalização, and cofinanced by the European Regional Development Fund (ERDF) through the Programa Operacional Regional de Lisboa of Portugal 2020  is hiring five researchers with a PhD (6 month contracts: Feb-Aug 2022). **Applications until 18 Feb 2022.*

See full announcements here:

  • two researchers in computational modelling /epidemiological modelling

https://euraxess.ec.europa.eu/jobs/739057

  • two researchers in mammal ecology/ecological modelling

https://euraxess.ec.europa.eu/jobs/739058

  • one researcher in mammal ecology, population management and/or mammal health to lead science communication and dissemination activities

https://euraxess.ec.europa.eu/jobs/739059

 

Project summaryMycobacterium bovis (Mb) is a multi-host pathogen causing tuberculosis (TB) at the wildlife-livestock interface. The inherent economic losses are huge, risk to public health is evident and disturbance of the ecosystem is likely. The key to control TB is believed to be an integrated approach to understand and thereafter intervene in the pathways through which Mb transmission occurs at different scales: within livestock, within wildlife, between livestock and wildlife, and between individual animals and the environment. This project proposes to reconstruct Mb history and demography in TB-endemic areas from Portugal using a bottom-up approach. It will develop a quantitative, multi-scale framework for incorporating metadata & spatially explicit whole genome sequences of Mb from cattle, wildlife and the environment into transmission models. The impact of intervention options will be tested in assembled predictive models and communicated to help stakeholders make informed control choices.

 

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