Postdoctoral Researcher in Quantum Computing for Bioinformatics

1000scholars; Amsterdam; On-site; EUR 41,000 - 64,000; Full time

Job summary

UvA - University of Amsterdam in Amsterdam, Netherlands invites applications for a Postdoctoral Researcher in Quantum Computing for Bioinformatics. The role develops quantum-algorithm prototypes within bioinformatics workflows and benchmarks them against classical approaches.

You will explore protein structure-based enzyme specificity and other computational tasks, collaborating with leaders across Q-MMD seed projects and partners in the Amsterdam quantum ecosystem.

Qualifications

• PhD in a closely related field with strong research potential.
• Strong programming and computational workflow experience.
• Fluent written and spoken English in an interdisciplinary team.

Responsibilities

• Develop quantum-algorithm prototypes within bioinformatics workflows.
• Benchmark against state-of-the-art classical approaches and report results.
• Publish findings and contribute to open research software and knowledge transfer.

Skills

Quantum computing

Bioinformatics

Programming

Computational research

Education

PhD in bioinformatics / computational biology / computer science / quantum information / quantum computing / computational chemistry / applied mathematics / physics

Job description

Postdoctoral Researcher in Quantum Computing for Bioinformatics

UvA - University of Amsterdam

Amsterdam, Netherlands

€ 3,706 - € 5,760 per month gross

Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet?

This is what you will do

You will develop quantum-algorithm prototypes within existing bioinformatics workflows and benchmark them transparently against state-of-the-art classical approaches.

In consultation with the project leaders and collaborators, you will focus on one or both of two complementary directions: protein structure-based enzyme specificity and biocatalysis, including computationally demanding tasks such as pose search in high-dimensional binding landscapes, optimisation of catalytic-pocket conformations, sampling of ligand-binding modes, and improved scoring of enzyme-substrate interactions; DNA sequence analysis, for example sequence alignment, assembly, distance computation, or phylogenetic inference, as applicable to microbiomes and human-microbiome interactions, such as outbreak-related strain reconstruction, or phasing and assembly of complex immune-system loci.

Your tasks and responsibilities will include:

surveying and selecting quantum or hybrid quantum-classical methods with credible potential for the chosen biological problems; designing reproducible proof-of-concept studies, implementing prototypes and evaluating them on suitable simulated and/or real biological datasets; comparing accuracy, scalability, resource requirements and scientific usefulness with strong classical baselines, and clearly identifying both opportunities and limitations; working closely with bioinformatics researchers, the incoming Lead Scientist Quantum Application, colleagues in the other Q-MMD seed projects as well as scientists in the wider quantum ecosystem at UvA; where appropriate, connecting prototypes to available quantum-computing infrastructure and hardware partners, including through the wider Amsterdam quantum ecosystem; taking a leading role in scientific publications, open and reusable research software, presentations and/or knowledge-transfer activities; helping formulate the project's valorisation strategy and develop follow-up proposals, including collaborative and public-private projects; contributing to the supervision of Bachelor’s and Master’s students and to an inclusive, collaborative research culture.

What we ask of you

You are a curious and rigorous researcher who enjoys learning across disciplines. You can translate an ambitious methodological idea into a testable computational study, communicate openly about negative as well as positive results, and work effectively with collaborators who use different scientific languages.

You: hold a PhD in bioinformatics, computational biology, computer science, quantum information/quantum computing, computational chemistry, applied mathematics, physics, or a closely related field; have strong programming and computational research skills, and experience building reproducible analysis or simulation workflows; have demonstrable expertise in one of the following domains and the motivation to acquire working knowledge of the complementary domain: quantum computation; bioinformatics or computational biology expertise in the project's core applications: biological sequence/structure analysis, molecular modelling, and/or optimisation and algorithms; have a research record appropriate to your career stage and the ability to communicate results clearly in publications, presentations and collaborative meetings; communicate fluently in written and spoken English and work constructively in an interdisciplinary, international team.

Experience with quantum software frameworks, high-performance computing, open-source software development, or collaboration with external partners is an advantage. We do not expect candidates to cover this entire list.