Postdoc: Quantum Bayesian Optimization for Molecules & Materials

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

Job summary

University of Amsterdam seeks an ambitious postdoctoral researcher to advance quantum computing for machine learning and atomistic modelling. You will develop quantum and classical pipelines to accelerate simulations and optimize molecular properties, collaborating across IvI, HIMS, IoP and the MMD tech hub.

The role emphasizes original research, publication, and active participation in seminars and teaching activities, with a 18-month temporary contract and a competitive salary.

Qualifications

• PhD in Quantum Computing or a closely related field.
• Publications in international refereed journals or publishers.
• Willingness to participate in interdisciplinary cooperation.
• Professional command of English.

Responsibilities

• Conduct independent research in quantum Bayesian optimization and its applications to molecules and materials.
• Contribute to seminars, symposia and knowledge transfer activities.
• Collaborate within the MMD technology hub and with IvI, HIMS, IoP groups and SURF/DIEP teams.

Skills

Quantum computing

Machine learning

Communication

English proficiency

Interdisciplinary collaboration

Education

PhD in Quantum Computing

PhD in Computational Chemistry/Physics

Tools

Python

Qiskit

Job description

University of Amsterdam seeks an ambitious postdoctoral researcher to advance quantum computing for machine learning and atomistic modelling. You will develop quantum and classical pipelines to accelerate simulations and optimize molecular properties, collaborating across IvI, HIMS, IoP and the MMD tech hub.

The role emphasizes original research, publication, and active participation in seminars and teaching activities, with a 18-month temporary contract and a competitive salary.