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Are you passionate about the intersection of Quantum Computing and Artificial Intelligence?
The QMLTN group at UL FRI is seeking a PhD student to join our mission to bridge the gap between classical tensor methods and next-generation quantum hardware. This is a chance to work at the absolute frontier of quantum computational science.
Focus Areas:We are looking for candidates interested in one of the following tracks:
πΉ Quantum Track: VQE, Adiabatic Algorithms, Quantum Error Correction, Reservoir Computing, and Neural Quantum States. πΉ Tensor Networks Track: Tensor Cross Approximation, Variational Optimization, and applying TN architectures to NLP. πΉ Machine Learning Track: effective description of quantum systems (SINDY, Koopman), physics-informed machine learning
Why apply?β Work on high-impact projects (including the KTTK21 consortium). β Access to cutting-edge quantum software and HPC resources. β Join a collaborative, interdisciplinary environment at the leading edge of Quantum Algorithm Development.
Whom are we looking for?- A Masterβs degree in Physics, Computer Science, or Mathematics.
- Strong coding skills (Python, PyTorch, Qiskit, JAX, or similar).
- A deep curiosity for many-body quantum systems and algorithmic optimization.
π Location: [Ljubljana/Slovenia] π Learn more & Apply: qmltn.ai
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Join University of Ljubljana, Faculty of Computer and Information Science and take your career to the next level!
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