37 agricultural marketing English-speaking jobs in Wageningen

Experienced machine learning professional to apply AI solutions in the food and biobased domains. Responsibilities include designing and developing AI solutions, collaborating with domain specialists, and contributing to project acquisition. Requires a PhD in a relevant field, 5+ years of experience in AI/machine learning development, and proficiency in Python.

This postdoctoral position focuses on identifying novel genes involved in insect development, specifically sex differentiation in parasitoid wasps. The successful candidate will conduct experiments involving RNA isolation, long-read sequencing, and single-nucleus RNA sequencing to analyze transcriptomic datasets.

Leading fish nutritionist committed to sustainable aquaculture development. Develops research on nutrient requirements, coordinates the nutrition team, and teaches at various academic levels.

PhD position in food supply chain optimization to reduce food waste. Develop models and algorithms to address coordination, dynamic pricing, and redistribution strategies.

Postdoctoral researcher to develop and validate radar methods for forest disturbance monitoring using long-wavelength data, focusing on NISAR and ROSE-L missions.

Conduct research and coordinate the project "Food Waste: Practices and Societal Transformations." Examine consumption patterns and practices related to food waste among citizens, retailers, and policymakers. Develop practical toolkits to facilitate the adoption of circular food consumption practices.

Researcher/Lecturer in Food Microbiology will conduct research on the safety of plant-based foods, focusing on Bacillus cereus. Responsibilities include quantifying heat resistance, germination, and outgrowth kinetics, developing predictive models, and publishing research findings. The role also includes teaching responsibilities such as developing educational materials, supervising lab classes, and supervising research projects.

PhD candidate to develop innovative methods and models for monitoring and interpreting crop canopy transpiration using thermal imaging and microclimate sensing. Will conduct experiments, analyze data, and collaborate with researchers, engineers, and growers.

PhD candidate to study the use of biofiltration systems for removing organic micropollutants and PFAS from concentrated streams in the context of drinking water production.

PhD candidate to study the safety of crop production using treated wastewater for irrigation, focusing on organic micropollutants (OMPs) and PFAS. Responsibilities include building a model for OMP and PFAS transfer from wastewater to crops, performing experiments, and identifying mechanisms of OMP and PFAS uptake in plants.

PhD candidate to study ion exchange for ammonium removal from wastewater, developing models and conducting experiments within a research consortium focused on next-generation municipal wastewater treatment technologies.

PhD position within the BlueVantage research consortium focused on developing next generation municipal wastewater treatment technologies. Research will involve studying fractionation of organic wastewater components, assessing biodegradability, and developing low-temperature microbial consortia for contaminant removal.

PhD candidate to investigate the prediction of protease cleavage sites in food proteins and peptide release kinetics during digestion using analytical chemistry and data-driven modelling.

PhD position to develop vision-language models for biodiversity and environmental monitoring using Earth observation, drone, and in situ images. Develop new machine learning methods for learning efficient and interpretable representations from real-world data. Collaborate with international researchers to advance AI/computer vision for ecology.

PhD candidate to develop approaches to monitor and interpret canopy-level photosynthesis using chlorophyll fluorescence imaging and microclimate data. Will design and execute greenhouse and vertical-farm experiments, use and validate multilayer photosynthesis models, and investigate short- and long-term regulatory processes. Collaborate with technology providers, growers, and researchers to integrate imaging-based insights into climate-control tools.

This PhD position explores how cities globally respond to the risk of extreme water scarcity ("Day Zero" events). The research analyzes policy responses, risk perceptions, and societal adaptations in six cities (Bogotá, Mexico City, Barcelona, Bengaluru, Chennai, and Cape Town). The successful candidate will conduct policy document analysis, interviews, and surveys to understand how risk images influence urban responses to water scarcity.

This PhD position investigates how modified cellulose nanocrystals self-assemble into structurally colored materials. The project aims to create robust, water-resistant photonic pigments based on renewable nanomaterials for applications in paints, coatings, and inks.