Wageningen University & Research
1 month ago
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PhD in Optimizing Sustainable Agri-Food Supply Chains under Climate Risk Wageningen University & Research in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
PhD position; funding details are not specified in the post. The vacancy is presented as an open doctoral research opportunity at Wageningen University & Research.
Country
Netherlands
University
Wageningen University & Research

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About this position
PhD opportunity at Wageningen University & Research in the Operations Research and Logistics group: Optimizing sustainable agri-food supply chains under climate risk.
This doctoral project focuses on how agricultural and food supply chains can remain resilient under climate-related disruptions such as droughts, floods, heatwaves, and changing production conditions. The successful candidate will develop advanced quantitative models and optimization methods for future-proof agri-food supply networks.
Research themes include stochastic optimization, robust optimization, uncertainty modelling, large-scale supply chain design, and data-driven decision support. The position sits at the intersection of optimization, sustainability, logistics, and agricultural systems, with a strong real-world impact orientation.
Ideal for candidates interested in agri-food supply chains, climate adaptation, sustainable food systems, operations research, and mathematical modelling. The post is within an international research environment at Wageningen University & Research in the Netherlands.
Application details are available via the vacancy page. No deadline or funding specifics were stated in the LinkedIn post itself.
Funding details
PhD position; funding details are not specified in the post. The vacancy is presented as an open doctoral research opportunity at Wageningen University & Research.
What's required
Candidates should be motivated to work on climate adaptation and sustainable food systems, operations research and mathematical modelling, resilient agriculture and supply chains, and research with real-world impact. The project emphasizes stochastic and robust optimization, uncertainty modelling, large-scale supply chain design, and data-driven decision support.
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