PROTECT: 8 positions available for Marie Skłodowska-Curie ITN Early Stage Researchers (PhD Students)

The PROTECT: Predictive mOdelling Tools to evaluate the Effects of Climate change on food safety (PROTECT) is recruiting 8 positions for PhD students. The overarching aim of this Innovative Training Network (ITN) is to provide high-level training in Predictive mOdelling Tools to evaluate the Effects of Climate change on food safeTy (PROTECT) to a new generation of high achieving early stage researchers. PROTECT will provide them with the transferable skills necessary for thriving careers in a burgeoning area that underpins innovative technological development across a range of diverse disciplines (http://www.usc.es/biogroup/protect).

PROTECT brings together intersectoral and multidisciplinary expertise from 11 European Countries (7 third level educational institutions, 6 industry partners, 1 United Nations agency). The consortium will share technical and training expertise to recruit and train 8 highly skilled Early stage researchers (ESRs) in advanced modelling tools to investigate the impact of climate change on food safety. The research work consists of 3 technical work packages with 8 individual research projects each looking at a specific aspect of predictive modelling and the influence of climate change on food safety.

The following PhD projects would be of interest to early career exposure scientists

1. Development of a Feed Chain Risk Assessment (FCRA) to assess the increased risk from mycotoxins in animal feed as a result of climate change and potential transfer to dairy produce for human consumption (University College Dublin).
2. Develop a Quantitative Microbial Exposure Assessment (QMEA) model to assess the impact of key process steps on both risk for human health and commercial sterility failure rate (ONIRIS).
3. Simulation and evaluation of energy use in the dairy industry: effect of a climate change scenario on the supply chain (UON).
4. Improving the environmental sustainability of the dairy products value chains by the combined use of LCA and RA methodologies (USC)
5. Development of a DSS based upon risk assessment and predictive tools (CRÈME-registered at UCD).

Further informaton can be found at: https://euraxess.ec.europa.eu/jobs/415157