Quantum-Computing Postdoc for Bioinformatics Innovation

Uva; Amsterdam; On-site; EUR 41,000 - 64,000; Full time

Job summary

The Biosystems Data Analysis group at the University of Amsterdam is seeking a postdoctoral researcher to develop and benchmark quantum-algorithm approaches for challenging bioinformatics problems. You will work within the Q-MMD programme, contributing to reproducible studies and collaborative research across disciplines.

You will lead prototype development, compare against classical baselines, and help shape future public-private collaborations while supervising students and disseminating

Qualifications

• PhD in a relevant field.
• Strong programming and computational research skills.
• Experience building reproducible analysis or simulation workflows.
• Fluent written and spoken English.

Responsibilities

• Surveying and selecting quantum or hybrid methods with credible potential for biology problems.
• Designing reproducible proof-of-concept studies and implementing prototypes on datasets.
• Comparing accuracy, scalability and resource use with classical baselines and reporting limits.
• Collaborating with bioinformatics researchers, Lead Scientist Quantum Applications, and wider quantum ecosystem at UvA.
• Connecting prototypes to available quantum computing infrastructure and hardware partners when appropriate.
• Leading scientific publications, reusable software, and knowledge-transfer activities.
• Contributing to project valorisation strategy and follow-up proposals.
• Supervising Bachelor’s and Master’s students and fostering an inclusive research culture.

Education

PhD in bioinformatics / computational biology / quantum information / physics

Job description

The Biosystems Data Analysis group at the University of Amsterdam is seeking a postdoctoral researcher to develop and benchmark quantum-algorithm approaches for challenging bioinformatics problems. You will work within the Q-MMD programme, contributing to reproducible studies and collaborative research across disciplines.

You will lead prototype development, compare against classical baselines, and help shape future public-private collaborations while supervising students and disseminating