Quantum Bayesian Optimization for Molecules & Materials

1000scholars; Amsterdam; Presencial; EUR 41.000 - 64.000; Jornada completa

Descripción de la vacante

University of Amsterdam seeks a Postdoctoral researcher to explore quantum Bayesian optimization for molecular and material design. The role focuses on combining quantum and classical computing to accelerate simulations and optimize properties, with collaboration across the MMD technology hub, SURF’s Quantum Computing division, and DIEP.

You will contribute to seminars and supervise theses, while advancing novel quantum ML pipelines.

Formación

• PhD in Quantum Computing or closely related field.
• Publications in international refereed journals are desirable.
• Strong communication and willingness to collaborate across disciplines.

Responsabilidades

• Conduct original research at the intersection of Quantum Computing, ML, and Bayesian optimization.
• Design and model molecules and materials using hybrid quantum-classical pipelines.
• Publish results in peer‑reviewed journals and present at conferences.
• Collaborate with internal and external partners across hubs and labs.

Conocimientos

Quantum Computing

Machine Learning

Statistical Inference

Atomistic Modelling

English proficiency

Educación

PhD in Quantum Computing

Herramientas

Qiskit

Python

Descripción del empleo

University of Amsterdam seeks a Postdoctoral researcher to explore quantum Bayesian optimization for molecular and material design. The role focuses on combining quantum and classical computing to accelerate simulations and optimize properties, with collaboration across the MMD technology hub, SURF’s Quantum Computing division, and DIEP.

You will contribute to seminars and supervise theses, while advancing novel quantum ML pipelines.