Postdoc in Chemometrics & Machine Learning for Fluorescence Imaging

The Roeffaers Lab at KU Leuven develops cutting-edge microscopy techniques to address key challenges in environmental science, catalysis, and biomedical research. Our team specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to gain molecular-level insights into complex materials and systems. The lab is internationally recognized for its expertise in correlative imaging and materials science.

To advance our microplastics research, we are looking for a highly motivated Postdoctoral Researcher with strong expertise in fluorescence microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring.

The project focuses on building scalable, accreditation-ready analysis workflows to detect and classify microplastics in complex sample types such as drinking water, plant-based beverages, and biological flu...