Postdoc in Computational Food Data Integration and Predictive Quality Modelling

About the role

The Department of Food Science at the University of Copenhagen seeks a postdoctoral researcher to lead computational integration of food data and develop predictive quality models. The 24‑month position starts on 1 November 2026 within the Horizon Europe MICROORC project and the RECIPE research consortium.

Key responsibilities

• Manage and execute a research project on probabilistic modelling of microbial spoilage and shelf‑life prediction.
• Develop and maintain data infrastructure linking recipes with nutritional, sustainability, flavor, and cost information.
• Produce scientific articles and present results at international conferences.
• Co‑supervise MSc and BSc students.
• Collaborate with academic and industrial partners across Europe.

Required profile

• PhD in computer science, bioinformatics, food science or a related discipline.
• Documented experience with Bayesian statistical modelling and deep learning applied to biological or food systems.
• Experience in natural language processing of domain‑specific text using transformer‑based models.
• Experience working with structured food data resources such as databases, ontologies or knowledge graphs.
• Strong record of first‑author publications in peer‑reviewed journals or conferences.
• Excellent written and spoken English.

Required skills

• Bayesian statistical modelling
• Deep learning
• Natural language processing
• Transformer‑based models
• Food databases, ontologies and knowledge graphs

What we offer

• Fixed‑term 24‑month contract within a leading European research programme.
• Access to interdisciplinary expertise and state‑of‑the‑art data infrastructure.
• Opportunities for teaching, networking with industry partners, and career development.