Postdoctoral Researcher in Machine Learning for Quantum Systems Leiden University in Netherlands

This postdoctoral position at Leiden University offers an exciting opportunity to conduct research at the intersection of machine learning and quantum many-body physics. The role is based within the Applied Quantum Algorithms (aQa) group, which spans several institutes including the Leiden Institute for Advanced Computer Science (LIACS), the Leiden Institute of Physics (LION), the Leiden Institute for Chemistry (LIC), and the Leiden Mathematical Institute (MI). The successful candidate will join Dr. Anna Dawid and her research team, contributing to a dynamic, interdisciplinary environment that fosters scientific freedom and structured mentoring.

Research topics include developing interpretable, reliable, and scalable machine learning methods, neural quantum states, understanding the simplicity bias of overparameterized neural networks, and applying these approaches to quantum systems such as ultracold quantum simulators. The postdoc will have the opportunity to lead collaborations focused on scalable Hamiltonian learning and the detection of quantum phases of matter and their order parameters in exotic systems. Exploring energy landscapes of neural quantum states and simplicity biases of neural networks are also key areas of interest.

The Faculty of Science at Leiden University is internationally recognized for its diverse research activities, ranging from mathematics and information science to physics, chemistry, biology, and environmental sciences. The faculty is located in Leiden’s Bio Science Park, one of Europe’s largest science parks, offering a vibrant academic and business community. LIACS is renowned for excellence in artificial intelligence and computer science, providing a supportive environment for young scientists with clear career paths and opportunities for growth.

Applicants must hold a Ph.D. in physics, computer science, or a related field, with a strong publication record in machine learning or quantum physics. Experience in ML applied to scientific problems is a bonus. Essential skills include proficiency in Python programming, with familiarity in PyTorch or Tensorflow considered advantageous. High proficiency in English and the ability to work collaboratively across scientific disciplines are required. Candidates should demonstrate creativity, curiosity, and an open mindset.

The position is full-time for two years, initially offered for one year with possible extension based on performance. The contract falls under the CLA of Dutch Universities, with a competitive salary (€3,546–€5,538 gross per month), holiday allowance (8%), end-of-year bonus (8.3%), and an attractive pension scheme. Additional benefits include full reimbursement of public transport commuting costs, flexible working hours, a minimum of 29 leave days, options for sabbatical or paid parental leave, home-working allowance, and provision of a laptop. Hybrid working is possible within the Netherlands.

Leiden University values diversity and inclusion, aiming to create an environment where all staff and students feel respected and can develop their full potential. The selection procedure will take place in June/July 2026, with interviews for shortlisted candidates.

To apply, submit your application online via the provided link. Required documents include a motivation letter, research statement, CV with publications and Google Scholar link, and contact details for at least two referees. For full consideration, apply by June 29, 2026.