PhD in Interpretable ML for Single-Cell Biology

1000scholars; Amsterdam; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Housing assistance for moving from 해외

PhD training program

Conference attendance support

Job summary

We are seeking a motivated PhD candidate to develop interpretable machine learning methods for single-cell (multi)-omics data at the University of Amsterdam. You will join the Biosystems Data Analysis group within SILS, collaborating across computer science, mathematics, and biology.

The role involves building ML models, testing them with in silico experiments, and contributing to manuscripts and teaching. A four-year contract with structured training and international collaboration is offered,

Qualifications

• Hold a MSc in Bioinformatics, Artificial Intelligence, Data Science, Biostatistics or a closely related discipline.
• Demonstrable experience with training machine and deep learning models, preferably using Python.
• Basic understanding of biology or interest in using computational methods to understand biology.
• Fluent in English, written and spoken.

Responsibilities

• Complete a PhD thesis within the official appointment duration (four years).
• Develop novel algorithms for analyzing single-cell (multi)-omics data and design in silico experiments to test them.
• Be an active and responsible member of the research group and collaborate with group members.
• Discuss work with group members at departmental meetings and incorporate feedback.
• Take a leading role in writing manuscripts for publication in peer-reviewed journals and conferences.
• Participate in the PhD training programme of the University of Amsterdam.
• Assist with teaching and supervision of Bachelor’s and Master’s students.

Skills

Fluent English

ML model training

Python experience

Education

MSc in Bioinformatics, AI, Data Science, Biostatistics or related

Tools

Python

Job description

We are seeking a motivated PhD candidate to develop interpretable machine learning methods for single-cell (multi)-omics data at the University of Amsterdam. You will join the Biosystems Data Analysis group within SILS, collaborating across computer science, mathematics, and biology.

The role involves building ML models, testing them with in silico experiments, and contributing to manuscripts and teaching. A four-year contract with structured training and international collaboration is offered,