PhD Candidate: Interpretable ML for Single-Cell Omics

University of Amsterdam; Netherlands; On-site; EUR 36,000 - 48,000; Full time

Job summary

University of Amsterdam seeks a motivated PhD candidate to develop novel methodology for single-cell (multi)-omics data by incorporating biological knowledge into machine learning models. You will join the Biosystems Data Analysis group at the Swammerdam Institute for Life Sciences.

You will work in an interdisciplinary team, contribute to publications, and participate in PhD training while collaborating with biologists and computer scientists.

Qualifications

• MSc in Bioinformatics, AI, Data Science, Biostatistics or related field.
• Experience training ML/DL models, preferably using Python.
• Interest in applying computational methods to biology; strong English communication.

Responsibilities

• Complete a PhD thesis within the official appointment duration (four years).
• Develop novel algorithms for analyzing single-cell (multi)-omics data and design tests.
• Collaborate with the research group and present at meetings; write manuscripts.
• Participate in the PhD training programme and assist with teaching/supervision.

Skills

Machine learning

Artificial intelligence

Python

Interdisciplinary

English fluency

Education

MSc in Bioinformatics

Biostatistics

Data Science

Tools

Python

HPC

Job description

University of Amsterdam seeks a motivated PhD candidate to develop novel methodology for single-cell (multi)-omics data by incorporating biological knowledge into machine learning models. You will join the Biosystems Data Analysis group at the Swammerdam Institute for Life Sciences.

You will work in an interdisciplinary team, contribute to publications, and participate in PhD training while collaborating with biologists and computer scientists.