PhD Candidate in Biological Analysis, KU Leuven, Leuven, Belgium

Postdoctoral Fellow in Belgium

PhD Candidate in Biological Analysis: The Augmented Intelligence for Data Analytics (AIDA) lab at KU Leuven is inviting applications for a highly motivated PhD candidate to join their research team. This position focuses on integrating advanced data visualisation and analytical techniques to address the complexities of multi-modal ecological datasets.

PhD Candidate in Multi-Modal Biological Data Analysis


PhD Candidate

Research Area:

Multi-Modal Biological Data Analysis


KU Leuven, Leuven, Belgium


  • Master’s Degree in Bioinformatics, Computer Science, Bioscience Engineering, Visual Design/Data Visualisation, or similar, with a distinction.
  • Strong foundation in general data visualisation principles and techniques.
  • Proficient programming skills, including Python and D3 (JavaScript).
  • Experience in unsupervised (and ideally supervised) machine learning and topological data analysis.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of different collaborative cross-domain research teams.
  • Proficient in oral and written English; excellent communication and multi-tasking skills.
  • Team-oriented, proactive, and result-driven.

Job Description:

  • Conduct advanced data analysis, bioinformatics, and data visualisation to understand eco-evolutionary dynamics within natural landscapes.
  • Utilize visual analytics, topological data analysis, and unsupervised machine learning to investigate temporal and spatial patterns across diverse data types (environmental, Daphnia genomes, Daphnia microbiomes, bacterioplankton metagenomes, etc.).
  • Explore and understand the underlying complexity of ecological systems.
  • Work in a collaborative and interdisciplinary research environment.
  • Publish research findings in peer-reviewed journals and present at international conferences.

How to Apply:

Interested candidates should submit the following documents:

  • Cover letter demonstrating your motivation and eligibility for the position.
  • CV detailing your past experiences and expertise in the research area.
  • Contact information of 2 referees.
  • If possible, examples of prior data visualisation work.

For more information, please contact Prof. Dr. Ir. Jan Aerts at tel.: +32 16 32 21 40 or via email:

Applications can be submitted via the online application tool.

Last Date for Apply:

July 28, 2024, 23:59 CET

KU Leuven strives for an inclusive, respectful, and socially safe environment, embracing diversity among individuals and groups as an asset. Equal opportunity and open dialogue are fundamental to our ambitious research and educational environment.



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