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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Postdoc AI-Enabled Decision Support and Data Integration - **Company:** Wageningen Universiteit - **Location:** Wageningen, Netherlands - **Salary:** €3,706.0 - €5,760.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Computer Simulation, Information Systems, Computer Programming, Information Engineering, Data Integration, Decision Support Systems, Graph Database, Interoperability, Python (Programming Language), Machine Learning, Operational Data Store, Software Architecture, Software Engineering, Systems Architecture, System Testing, Systems Integration, Digital Twin, Knowledge Representation, Information Technology, Data Analytics - **Published:** November 3, 2026 - **Apply:** https://www.academictransfer.com/en/jobs/365242/postdoc-ai-enabled-decision-support-and-data-integration/apply/ ## About the Role You are an independent and collaborative researcher who can translate complex interdisciplinary requirements into rigorous computational methods, architectures, and research prototypes. You are comfortable working across AI, data, software architecture, and life-science application domains., * A PhD in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Systems Engineering, Information Systems, or a closely related field. * A strong research background in one or more of the following: AI or machine learning, data/model integration, data engineering, decision-support systems, software architecture, or knowledge representation. * Experience in designing and implementing research prototypes, with good programming skills, preferably in Python and relevant AI/data-science technologies. * A scientific publication record appropriate to your career stage and the ability to conduct independent research while contributing effectively to an international consortium. * Strong communication and collaboration skills; experience with trustworthy AI, hybrid modelling, knowledge graphs, digital twins, FAIR data, interoperability, or agricultural/life-science applications is an advantage. In our international working environment there is an increasing amount of communication in English. For this position it is about language level C1. ## Description As a Postdoctoral Researcher in AI-Enabled Decision Support in Wageningen, you will develop methods and architectures that integrate heterogeneous data and predictive models into adaptive decision-support systems for sustainable crop protection. You will contribute to the Horizon Europe project STRONG-BIO (Strategic Tool for PhytoPathogen Resistance Oversight in Next-Generation BIOcontrol). Within the Information Technology Group, you will focus on the computational and systems aspects of the project: integrating heterogeneous data and models, developing AI-enabled predictive services, and contributing to an interoperable decision-support system. The three-year postdoctoral trajectory is intended to start around 1 March 2027, shortly after the project launch, so that the first project months can be used for consortium alignment, requirements, data and model inventories, and interface agreements. Your research will follow a coherent line from architecture and integration foundations, through AI and hybrid model integration, to system validation and generalisation. The aim is not only to implement project functionality, but also to develop reusable scientific methods and architectural principles for trustworthy, adaptive decision-support systems. You will work closely with STRONG-BIO partners that provide resistance monitoring, eDNA, climate, sensing, epidemiological, evolutionary, and field-validation data and models. You will help turn these heterogeneous inputs into a traceable flow from data and evidence to prediction, recommendation, action, and feedback. Your duties and responsibilities include: * Design the reference architecture and interoperability approach for integrating heterogeneous biological, environmental, molecular, sensor, and operational data and models. * Develop AI and data-analytics methods, including hybrid approaches that combine data-driven models with epidemiological and evolutionary models. * Develop and integrate an adaptive intelligent decision-support system, addressing uncertainty, provenance, explainability, traceability, and reliability. * Design, implement, and evaluate research prototypes with consortium partners using Living Lab and Core Innovation Farm scenarios. * Publish scientific results, contribute to project deliverables and workshops, and supervise MSc thesis projects related to the research. Your team You will work in the Information Technology Group (INF), an international team conducting research and education in artificial intelligence, data science, software engineering, and systems engineering. You will collaborate with INF researchers and MSc students, WUR domain experts, and the international STRONG-BIO consortium. You will work here The Information Technology Group develops intelligent, data-intensive, and software-intensive systems for complex challenges in agriculture, food, health, and the environment. In STRONG-BIO, INF contributes expertise in AI, data integration, software and systems architecture, and intelligent decision support. The project provides a strong interdisciplinary environment for developing generalisable methods while validating them in a real European crop-protection setting., You will work on the greenest and most innovative campus in the Netherlands, in an international and open working environment.