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Peter S. Rice

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PhD Position in Computational Nano-Electrochemistry University of Amsterdam in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full PhD salary funded for 4 years, starting at €3,204 per month and rising to €4,051 per month; 38 hours per week, plus holiday allowance and year-end allowance.

Deadline

Dec 15, 2026

Country flag

Country

Netherlands

University

University of Amsterdam

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Molecular Dynamics
Density Functional Theory
High Performance Computing
Electrocatalysis
Charge Transfer
Physics

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About this position

Computational nano-electrochemistry at the University of Amsterdam

This PhD project sits in the Computational Chemistry Group at the Van 't Hoff Institute for Molecular Sciences (HIMS), part of the Faculty of Science at the University of Amsterdam. The research focuses on how electrochemical processes unfold at the nanoscale, with an emphasis on modeling complex solid-liquid interfaces under operating conditions.

You will work on fundamental questions at the intersection of theory, simulation, and electrocatalysis. The project aims to bridge atomistic physics and real-world electrochemistry by studying electric double layers, charge transfer, catalytic reactivity, solvent behavior, and reaction mechanisms in nano-confined systems. The work is directly relevant to energy conversion and storage applications including green hydrogen production, CO2 electroreduction, and advanced batteries.

The research combines advanced computational chemistry and multi-scale modeling. You will develop and apply workflows based on Density Functional Theory, ab initio molecular dynamics, and machine-learning interatomic potentials to simulate electrochemical interfaces. The role involves collaboration with experimental electrochemists and catalysis researchers, including partners in the Advanced Nano-electrochemistry Institute of the Netherlands (ANION consortium) such as AMOLF and the University of Twente.

The position is embedded in an international, collaborative research environment at Amsterdam Science Park. The Computational Chemistry Group is described as interactive and curiosity-driven, with weekly group meetings, strong ties to national research networks, and access to national and local high-performance computing facilities. The project offers the opportunity to publish in peer-reviewed journals, present at scientific conferences, and contribute to teaching undergraduate and master’s chemistry courses while supervising student projects.

The successful candidate will join a supportive research setting focused on theoretical and computational chemistry, with hands-on mentorship and close interaction across the group and the wider consortium.

Funding details

Full PhD salary funded for 4 years, starting at €3,204 per month and rising to €4,051 per month; 38 hours per week, plus holiday allowance and year-end allowance.

What's required

A Master’s degree (or equivalent) in Chemistry, Physics, Computational Science, Materials Science, or Chemical Engineering is required or about to be obtained. Applicants should have a solid background in quantum mechanics, statistical mechanics, machine learning, or atomistic simulations such as DFT, molecular dynamics, and scientific programming in Python/Linux or C++. The role requires initiative, critical thinking, creative problem-solving, clear English communication in writing and discussion, and the ability to work collaboratively in an international team while sharing code, methods, and insights.

How to apply

Apply via the AcademicTransfer application link and submit a motivation letter, CV, academic reference contact details, MSc diploma, and transcripts. Applications are reviewed on a rolling basis until the position is filled, so apply before 15 December 2026.

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Professors

Assistant Professor at University of Amsterdam

University Name
Country flag

Netherlands

Research Interests

Electrocatalysis

Materials Science

Physics

Density Functional Theory

Computer Science