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Postdoctoral Fellow in Quantum Simulation of Long-Range Interacting Fermions

Quantiki
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⚡ Quantum Brief
A Stockholm University research group led by Dr. Paolo Molignini is hiring a postdoctoral fellow to advance quantum simulations of long-range interacting fermions, focusing on experimentally relevant systems like dipolar gases and cavity QED. The successful candidate will develop AETHER, a novel computational framework merging adaptive many-body methods, machine learning, and high-performance computing to model strongly correlated quantum systems. Key responsibilities include designing new many-body algorithms, running large-scale HPC simulations, and validating results against exact methods and experimental data from collaborating institutions. Applicants must have expertise in quantum many-body physics, numerical techniques (e.g., MCTDH, DMRG), and strong programming/HPC skills for this computational physics role bridging theory and experiment. Applications are due April 12, 2026, via email to paolo.molignini@fysik.su.se. The position emphasizes hands-on research at the forefront of quantum simulation.
Postdoctoral Fellow in Quantum Simulation of Long-Range Interacting Fermions

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Postdoctoral Fellow in Quantum Simulation of Long-Range Interacting Fermions Application deadline: Sunday, April 12, 2026Employer web page: https://www.su.se/english/divisions/department-of-physics/about-the-department/work-with-us/postdoctoral-fellow-in-quantum-simulJob type: FellowshipPostDocTags: cold atomsquantum simulationvariational methodsLong-Range Interactionscomputational physicshigh performance computingfermionspostdocBuild the next generation of quantum many-body simulation methods! We are seeking a postdoctoral researcher to work on strongly correlated fermionic systems with long-range interactions, within the group of Dr. Paolo Molignini at Stockholm University. The project centers on developing AETHER, a novel computational framework for simulating long-range interacting quantum systems in experimentally relevant regimes (dipolar gases, cavity QED), combining adaptive many-body methods, machine learning, and high-performance computing. You will: - Develop and implement new many-body algorithms - Perform large-scale simulations on HPC systems - Benchmark against exact methods and experiments - Contribute to collaborations with leading groups (e.g. Innsbruck, EPFL) We are looking for candidates with a background in quantum many-body physics, experience with numerical methods (e.g. MCTDH, DMRG, TDVP), and strong programming/HPC skills. This is a hands-on computational physics position at the interface of theory, numerics, and experiment. Apply via email to: paolo.molignini@fysik.su.se Log in or register to post comments

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Source: Quantiki