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Leiden University

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Fully Funded PhD in Machine Learning and Quantum Systems at Leiden University Leiden University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded 4-year salaried PhD position with a salary of €3,204–€4,051 gross per month.

Deadline

Nov 30, 2026

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Country

Netherlands

University

Leiden University

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Keywords

Computer Science
Deep Learning
Mathematics
Python Programming
Many-body Systems
Physics
ML
open quantum systems

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About this position

Leiden University is advertising a fully funded PhD position in Machine Learning and Quantum Systems within the Interpretable Machines for Physics Group at LIACS, Faculty of Science.

The project focuses on interpretable, reliable, and scalable machine learning for quantum many-body physics and quantum systems. This is a strong fit for applicants interested in the intersection of computer science, physics, and machine learning, especially those with an interest in deep learning methods applied to quantum problems.

Eligibility highlights: a Master’s degree in Physics, Computer Science, or a closely related field; strong interest in machine learning; good Python programming skills; and English proficiency. Knowledge of quantum physics or deep-learning theory is considered an advantage.

Funding: 4-year salaried PhD position with a gross monthly salary of €3,204–€4,051.

Deadline: 30 November 2026.

How to apply: submit your application through the Leiden University careers portal using the provided application link. Apply before the deadline.

Funding details

Fully funded 4-year salaried PhD position with a salary of €3,204–€4,051 gross per month.

What's required

Master’s degree in Physics, Computer Science, or a closely related field. Applicants should have a strong interest in machine learning, good Python programming skills, and English proficiency. Knowledge of quantum physics or deep-learning theory is an advantage.

How to apply

Apply online through the Leiden University careers portal using the application link provided in the post. Submit your application before 30 November 2026.

More information can be found here

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