🎓 Multiple PhD Positions
🔎 Machine Learning for Complex Quantum States

🏛 Different institutions across Germany and Switzerland
🇩🇪 🇨🇭Germany and Switzerland
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⏳Deadline: 27 February 2026

⚠️ Apply Link ⚠️

🗣 More information: Our recently established collaborative research initiative “Machine Learning for Complex Quantum States” (MLCQS) – a consortium spanning eleven different institutions across Germany and Switzerland – is seeking to fill several PhD positions.
MLCQS will develop and employ tools of machine learning to investigate composite quantum systems with a focus on artificial quantum systems. Advanced capabilities of modern experimental techniques to manipulate and probe many-body quantum systems have made quantum simulation and quantum computing with substantial numbers of qubits a reality. But at the same time, fully leveraging their potential poses new challenges related to high-dimensional state representations and data as well as optimal control strategies. MLCQS will tackle these challenges by developing machine-learning-enhanced techniques for simulation, data analysis, and control. Our goals range from gaining theoretical insight to advancing experiments with ultracold atoms. Thereby, we will enable new insights into complex quantum states and dynamics.

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