PhD Candidate: Interpretable ML for Single-Cell Omics

University of Amsterdam (UvA) via AcademicTransfer; Netherlands; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Housing assistance for living abroad

Pension ABP

Courses and training

PhD program support

Job summary

University of Amsterdam (UvA) invites applications for a PhD position in the Biosystems Data Analysis group. You will develop interpretable machine learning methods for single-cell (multi)-omics data, integrating biological knowledge and collaborating across computer science, mathematics, and biology to accelerate discoveries.

The role includes writing manuscripts, participating in the PhD training program, and teaching supervision, with a 4-year appointment and a competitive salary.

Qualifications

• MSc in Bioinformatics, AI, Data Science, Biostatistics or closely related discipline.
• Experience training ML and deep learning models, preferably in Python.
• English fluency, written and spoken.

Responsibilities

• Develop novel methodology for single-cell (multi)-omics data analysis.
• Build interpretable-by-design machine learning models to yield biological insights.
• Lead manuscript writing and participate in PhD training and teaching activities.
• Collaborate with an international team at SILS/UvA.

Skills

Machine learning

Python

Deep learning

Interdisciplinary collaboration

Education

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

Tools

Python

HPC

Job description

University of Amsterdam (UvA) invites applications for a PhD position in the Biosystems Data Analysis group. You will develop interpretable machine learning methods for single-cell (multi)-omics data, integrating biological knowledge and collaborating across computer science, mathematics, and biology to accelerate discoveries.

The role includes writing manuscripts, participating in the PhD training program, and teaching supervision, with a 4-year appointment and a competitive salary.