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The University of Amsterdam is inviting applications for a PhD candidate to develop explainable machine-learning methods for single-cell biology. This doctoral project aims to create interpretable-by-design models to enable mechanistic discovery and reproducible computational experiments.
The four-year, full-time position is funded with a monthly salary within EUR 3,204–4,051 gross and an application deadline of 31 October 2026.
University of Amsterdam · Swammerdam Institute for Life Sciences, Biosystems Data Analysis group
Netherlands
Apply by 31 Oct 2026
The University of Amsterdam is recruiting a PhD candidate to develop explainable machine-learning methods for studying biology at single-cell resolution. Applications close on 31 October 2026 at 23:59 Europe/Amsterdam.
The doctoral project develops interpretable-by-design machine-learning methods for single-cell and multimodal biological data. The work aims to support mechanistic biological discovery through reproducible computational experiments, interpretable models and integration of complex omics datasets.
single-cell biology explainable AI machine learning multi-omics bioinformatics
PhD
Full-time
4 years
15476
Explainable Machine Learning for Single-Cell Biology
Artificial Intelligence & Data Science
University
Amount EUR 3,204-4,051 / Per Month
Funding Type Salary
Funding Status Paid
Period Per Month
Applicants should hold an MSc in data science, computer science, biostatistics, bioinformatics or a closely related quantitative field.
A solid foundation in machine learning and an interest in computational biology and single-cell data analysis are expected.
Machine learning Explainable AI Single-cell data analysis Multi-omics integration Bioinformatics