.The work will be developed within the framework of the European project PRECIOUS (Horizon Europe), which is focused on analysing the sustainability of food waste prevention actions with a life cycle perspective.Food loss and waste (FLW) is a significant issue that is deeply ingrained in cultural practices.
This problem has been exacerbated by societal norms that promote excessive consumption and disposal, largely due to the widespread belief that food is affordable.
Historically, the availability and abundance of food resources have contributed to a wasteful culture, where items are discarded without consideration of their intrinsic value or the broader consequences of waste.Additionally, the most common approach to addressing FLW has been microeconomic, focusing on individual actions and small-scale interventions within local ecosystems.
While these local initiatives may yield positive results and stem from good intentions, they often lack a systemic perspective necessary to effect meaningful change on a global scale.
Solutions developed solely within specific local contexts may not adequately address the comprehensive challenges associated with FLW.The PRECIOUS project aims to shift the conversation surrounding FLW by adopting a holistic and multidimensional approach.
This will involve applying multidisciplinary insights, pursuing methodological research developments, and engaging stakeholders at multiple levels.As part of the PRECIOUS project, the candidate will be responsible for the development of a model that integrates system dynamics and Life Cycle Analysis (LCA) to model the environmental, social, and economic impact of food waste prevention actions over time.
This analysis will focus primarily on analyzing the rebound effect generated by these actions, integrating the results of LCA models and economic models that evaluate this effect.Project Title PRECIOUS: ADDRESSING THE ENVIRONMENTAL IMPACTS OF FOOD LOSS AND WASTE PREVENTION AND ITS REBOUND EFFECTS (GA 101181994)Minimum Requirements Hold a degree and master in Environmental Engineering, Chemical Engineering, Agronomy Engineering, Applied Mathematics or similar.Knowledge in one or more of the following research areas: scientific programming (R, Python, Matlab, System dynamics) and Life Cycle Assessment.Excellent knowledge of English (oral/written) is compulsory for the job profile and tasks development.Knowledge in economics or social disciplines will be valuable.Application Process The University of Deusto carries out this call within the framework of "General call for Grants allocated to research projects or groups to pursue Doctoral Studies." For more information on this call, please click on the following link.Please complete the following two steps:Register at the Deusto Career opportunities website (click on the blue "register" button)