PhD: Interpretable ML for Single-Cell & Multi-Omics

Laplace Expert Ltd; Amsterdam; Remote; EUR 36,000 - 45,000; Full time

Job summary

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.

Qualifications

• MSc in data science, computer science, biostatistics, bioinformatics or related quantitative field.
• Solid foundation in machine learning.
• Interest in computational biology and single-cell data analysis.

Responsibilities

• Develop explainable ML methods for single-cell biology.

Skills

Machine learning

Explainable AI

Single-cell data analysis

Multi-omics integration

Bioinformatics

Education

MSc in data science, computer science, biostatistics, bioinformatics or related quantitative field

Job description

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.