Finding structure in multi-modal food data with visual analytics

We are looking for a highly motivated PhD candidate to join our team in this mission to improve food consumption behaviour. Your ideal background:

EU Master Degree in Data Science, Bioscience Engineering, Computer Science or a closely related field

Demonstrated understanding of unsupervised machine learning (clustering, dimensionality reduction); exposure to topological data analysis is welcome.

An exploratory, investigative mindset: comfortable working without a fixed hypothesis, iterating on both analytical methods and visual designs.

Solid proficiency in Python; knowledge of SQL (NoSQL experience (document and graph databases) is an asset).

Interest in visual design and communication of data, beyond default plotting tools.

Strong analytical skills and interest in interdisciplinary, applied methodological research.

Knowledge of Dutch is a plus.

This PhD position is part of the HSFood4ALL (Healthy and Sustainable Food for All) pro...