Postdoc on Quantum Bayesian Optimization

University of AmsterdamGroot-AmsterdamEURESpublished 09/15/2026
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  • JOB - Netherlands - University of Amsterdam (UvA) via AcademicTransfer - Posted on: 10 September 2026 Postdoc on Quantum Bayesian Optimization for Molecular and Material Design

Page contents

10 Sep 2026

University of Amsterdam (UvA)

Research Field

  • Computer science » Informatics
  • Physics » Quantum mechanics
  • Physics » Statistical physics

Researcher Profile

Recognised Researcher (R2)

Application Deadline

16 Oct 2026 - 21:59 (UTC)

Country

Netherlands

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

38.0

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Are you passionate about exploring the potential of Quantum Computing for Machine Learning in Molecular and Material applications? Do you enjoy doing cutting-edge research at the crossroads of Informatics, Physics, and Molecular Sciences?

Join Us!

In this pivotal postdoctoral position, you will explore and realize the potential of Quantum Computing to improve Machine Learning models to accelerate atomistic simulation and model molecular and material properties. You will focus on Quantum Optimization and in making the complexity of Quantum Circuits tractable, but you will be free and encouraged to propose and pursue novel directions. You will collaborate closely with the Quantum initiative of the Molecular and Material Design (MMD) technology hub , as well as with the Quantum Computing division of SURF and with the Dutch Institute for Emergent Phenomena (DIEP). You will be embedded in the Computational Soft Matter (CSM) Lab , a joint initiative of the Institutes of Informatics (IvI) , Physics (IoP) and Molecular Sciences (HIMS) .

This is what you will do

You are expected to conduct original and fundamental research at the intersection of Quantum Computing, Statistical Physic...

Contact person

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