项目介绍

2024年10月23日

Your function

Trade plays a significant role in both driving and preventing emissions, climate change, and environmental degradation. On the one hand, production, transportation, and consumption of goods contribute to greenhouse gas emissions and deforestation. On the other hand, globalization and trade may prevent further land use change by concentrating production on the locations with the highest production. The integration of trade policies with environmental sustainability is crucial to mitigating potential negative impacts of trade and globalisation, fostering more responsible practices that protect ecosystems and reduce environmental degradation.

This research is part of the Horizon Europe ENhanced understanding of Trade Impacts on Climate, industries, and the Environment (ENTICE) project. ENTICE aims to develop novel data and modelling capacity to enhance our knowledge and inform policymakers on the positive and negative impacts of trade and trade policy on climate and the environment. The project will focus on emissions and climate change issues but also integrate the broader effects on the environment, biodiversity, pollution, and natural resources depletion.

Your duties:

• You will conduct cutting-edge research on the impact of trade on land use changes and the environment.
• You will enhance the land use model GLOBIOM and links with macro-economic models to better capture impacts of trade between regions on the land use sector and the environment.
• You will process data, analyze results and implement a range of scenarios on more sustainable trade agreements.
• You will carry out case-studies, mixing quantitative and qualitative methods to understand the impact on land use changes and the environment at a more fine-grained level.

Your profile

• A university masters’ degree in agriculture, environmental, trade economics with affinity to sustainability issues.
• Experience with or interest in quantitative research methodologies, including mathematical programming and scenario modelling.
• Experience with data and spatial analysis and processing, preferably in R or QGIS
• Experience with (or willingness to learn) qualitative data gathering and analysis
• Organisational, communicative and connective skills that allow you to collaborate with a wide variety of academic and societal actors.

We recognise that each individual brings a unique set of skills, expertise and mindset. We would like to invite everyone who recognises themselves in the profile to apply, even if you do not (fully) meet all the requirements.