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Nabil Iqbal

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Multiple PhD Positions in Symmetries and Their Breaking in Deep Learning University of Amsterdam in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

This is a salaried, temporary four-year PhD employment contract for 38 hours per week. The initial contract lasts 18 months and may be extended after satisfactory evaluation. Gross monthly salary is €3,204–€4,051 depending on relevant experience, plus 8% holiday allowance and 8.3% year-end allowance. Benefits include pension arrangements and other secondary employment benefits; the 30% ruling may apply to non-Dutch applicants.

Deadline

Dec 8, 2026

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Country

Netherlands

University

University of Amsterdam

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Keywords

Computer Science
Deep Learning
Mathematics
Artificial Intelligence
Mathematical Modeling
Statistical Mechanics
Generative Modeling
Symmetry Breaking
Physics
ML

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About this position

The University of Amsterdam’s Faculty of Science is recruiting multiple PhD candidates for a project on symmetries and their breaking in deep learning, supported by a Simons Foundation grant. The positions are based in the Amsterdam Machine Learning Lab (AMLab), in a new research group led by Associate Professor Nabil Iqbal at the intersection of deep learning and physics.

The project seeks mathematically principled explanations for how modern neural networks develop complex capabilities from simple components. Inspired by ideas from statistical physics, the research will investigate how symmetry and spontaneous symmetry breaking can explain the coherent propagation of information through deep architectures and the integration of information across space and time.

Possible research directions include using symmetry-breaking principles to design physically inspired neural-network architectures for efficient computation, and studying generative models such as diffusion models and autoregressive text generation. The project will also explore non-reciprocal thermodynamics, generalization from training data, and how fundamental dynamical principles can guide the creation of structure in generative models.

Each PhD project will be developed jointly with the PI to reflect mutual interests. Researchers will work with other students and postdocs in AMLab and combine theoretical research with empirical experimentation, including mathematical analysis, algorithm development, coding, and evaluation of deep-learning models on high-performance computing infrastructure. The group’s broader environment includes research in deep generative models, approximate inference, probabilistic programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning.

PhD candidates will conduct independent research, present findings at conferences, workshops, and journals, contribute to teaching and student supervision, and complete a doctoral thesis within four years.

Funding details

This is a salaried, temporary four-year PhD employment contract for 38 hours per week. The initial contract lasts 18 months and may be extended after satisfactory evaluation. Gross monthly salary is €3,204–€4,051 depending on relevant experience, plus 8% holiday allowance and 8.3% year-end allowance. Benefits include pension arrangements and other secondary employment benefits; the 30% ruling may apply to non-Dutch applicants.

What's required

Applicants must have an MSc in artificial intelligence, computer science, physics, mathematics, or a related field; strong mathematical skills and comfort building mathematical models of complex phenomena; working knowledge of machine learning, including modern deep-learning architectures such as transformers; programming skills in Python or related languages, with familiarity with NumPy/SciPy, PyTorch, or JAX preferred; an interest in interdisciplinary research across AI/machine learning, computer science, mathematics, and physics; fluent spoken and written English; and willingness to undertake light teaching and supervision duties. Familiarity with spontaneous symmetry breaking is preferred but not required. Applicants should submit a detailed CV with education and work dates in months, a motivation letter, publication list, complete Bachelor’s and Master’s course records with grades and grading-system explanation, and names and email addresses of two referees.

How to apply

Apply online through the vacancy page’s red Apply button by 8 December 2026. Submit a detailed CV separately and combine the motivation letter, publication list, complete Bachelor’s and Master’s records, and grading-system explanation into one PDF; also provide contact details for two referees.

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Professors

Associate Professor

University Name
Country flag

Netherlands

Research Interests

Artificial Intelligence

Computer Science

Generative Modeling

Ml

Mathematics