Job Description

  • A PhD in data science, applied physics, chemistry, materials science, bioengineering, or a related field, with a strong focus on data-driven analysis.
  • Proven expertise in processing and analyzing fluorescence microscopy data, with hands-on experience in spectral imaging, lifetime data, or multi-channel image datasets.
  • Solid background in chemometrics, machine learning, or deep learning, particularly for classification, clustering, or pattern recognition in large datasets.
  • Proficiency in Python, MATLAB, or similar platforms used for image analysis, data modeling, and algorithm development.
  • Experience with environmental analysis or microplastic research is a plus but not required.
  • Strong analytical and problem-solving skills, ability to translate data into insights, and motivation to contribute to a multidisciplinary research and innovation environment.
  • A publication track record in relevant areas, and a proactive, solution-oriented min...

    • Apply for this Position

    Ready to join KU Leuven? Click the button below to submit your application.

    Submit Application