PhD in Interpretable ML for Quantum Systems

Leiden University; Netherlands; Hybrid; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Mentoring program and career planning

Hybrid working in the Netherlands

Laptop provided with home-working and

Job summary

Leiden University invites applications for a PhD candidate position in the Interpretable Machines for Physics (IMP) group. You will research the mechanics of deep learning applied to quantum many-body problems, focusing on interpretable, reliable, and scalable ML, under Dr.

Anna Dawid's supervision. The role is part of the aQa group within what is the Leiden Institute of Physics and LIACS, LIACs, LIC, and MI collaborations.

Qualifications

• Master’s degree in physics, computer science, or closely related field.
• Strong interest in ML and motivation to make it interpretable and reliable.
• Good programming skills in Python.

Responsibilities

• Conduct research on the mechanics of deep learning and applications of ML in quantum sciences with rigor under supervision.
• Assist in teaching activities.
• Participate in regular group and one-on-one meetings.
• Co-supervise Bachelor and Master students.
• Present research results at international conferences and through publications.

Skills

ML interest

Python programming

English proficiency

Team collaboration

Education

Master’s degree in physics, computer science, or closely related field

Tools

Python

Job description

Leiden University invites applications for a PhD candidate position in the Interpretable Machines for Physics (IMP) group. You will research the mechanics of deep learning applied to quantum many-body problems, focusing on interpretable, reliable, and scalable ML, under Dr.

Anna Dawid's supervision. The role is part of the aQa group within what is the Leiden Institute of Physics and LIACS, LIACs, LIC, and MI collaborations.