Postdoc AI-Driven Allergen Early Warning Systems for Novel Foods

Page contents 4 Nov 2026 Wageningen University & Research Research Field Engineering » Systems engineering Engineering » Computer engineering Computer science » Programming Computer science » Informatics Researcher Profile Recognised Researcher (R2) Application Deadline 16 Nov 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a talented post-doctoral researcher for a one-year position to work on a cutting-edge research project exploring the role of AI in developing an Allergen Early Warning System (EWS) for novel foods. The successful candidate will contribute to the design and implementation of AI-driven models that enhance food safety by predicting and identifying potential allergens in novel food products. The position focuses on understanding how AI can support the development of an Allergen Early Warning System (EWS) for novel foods, ensuring high-quality and safe food products. The research will investigate how AI models can predict allergenic risks by analyzing diverse data sources related to food composition, processing, and consumer responses. The AI system developed will utilize advanced techniques such as machine learning, large language models (LLMs), and predictive modeling to detect potential allergens and provide early warnings, enhancing food safety and decision-making in novel food production. Key Responsibilities: - Engage stakeholders to identify drivers, indicators, and user requirements through co-creation events and expert consultation. - Collect and analyze data from public sources and literature to monitor allergen risks in novel foods. - Develop and implement AI algorithms and LLMs for identifying emerging allergens us...