PhD in Machine Learning for Quantum Systems
Join Leiden University to research interpretable and reliable machine learning methods for quantum many-body physics.
Best for:Best for master's graduates in physics or computer science with a strong interest in interpretable machine learning and quantum systems.
Overview
Leiden University invites applications for a fully funded PhD position at the intersection of machine learning and quantum many-body physics. Based within the Interpretable Machines for Physics group and the Applied Quantum Algorithms network, the successful candidate will develop scalable and reliable deep learning techniques for complex quantum problems. The role combines fundamental computational research with structured mentoring, academic teaching assistance, and student supervision. Applicants will enjoy an interdisciplinary academic environment with flexible working arrangements and comprehensive career support. The latest possible start date for this appointment is November 2027.
What you'll do
- Conduct rigorous academic research on the mechanics of deep learning and its applications in quantum sciences under supervision.
- Contribute to relevant departmental teaching activities and assist with educational programs.
- Participate actively in regular group meetings, one-on-one sessions, and collaborative scientific discussions.
- Co-supervise Bachelor and Master students on related research projects.
- Organize and co-ordinate local scientific events and workshops.
- Disseminate research findings through presentations at international conferences and peer-reviewed publications.
Requirements
Degree required: Master's degree in physics, computer science, or a closely related field
Degree offered: PhD
Language: English; proficient in spoken and written communication
Instruction: English
- Strong interest in machine learning with a focus on interpretability and reliability
- Proficiency in Python programming
- Demonstrated ability to work collaboratively across interdisciplinary teams
- Strong self-motivation, organization, and independent problem-solving skills
Funding & terms
How to apply
Deadline: 2026-11-30
Submit your application online through the official vacancy portal using the provided application link. Ensure all required documentation, including your CV, motivation letter, and reference contacts, are uploaded before the deadline. Selected candidates will be invited for interviews during the selection phase.
- CV
- Cover letter
- Research statement
- Reference contacts
Contact
Anna Dawid· Assistant Professor / Group Leader
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.