University of Florida
4 days ago
Postdoctoral Associate in Theoretical and Computational Quantum Information and Condensed Matter Physics University of Florida in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Initial appointment is for two years, renewed annually, with a possible third year extension contingent on strong performance, mutual satisfaction, and availability of funds.
Deadline
Jun 30, 2027
Country
United States
University
University of Florida

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About this position
Postdoctoral Associate in theoretical and computational quantum information and condensed matter physics at the University of Florida (Gainesville, United States).
The position is in the group led by Prof. Haining Pan in the Department of Physics. The research program includes quantum computing, AI-accelerated quantum simulation, materials discovery, quantum machine learning, topological quantum materials, and related topics in quantum information science and condensed matter physics.
Applicants should have a Ph.D. in Physics, Computer Science, or a closely related area. Preferred experience includes quantum many-body numerics (tensor networks, variational Monte Carlo, stabilizer/near-Clifford simulation, Gaussian/free-fermion methods, open-system dynamics), machine learning for physical systems (deep learning, reinforcement learning, transformers, large language models), or analytical many-body and quantum information theory (replica field theory, monitored/noisy quantum circuits, symmetry-protected topological phases, topological quantum computation, quantum error correction).
The appointment is initially for two years, renewable annually, with a possible third year extension depending on performance and funding. The post mentions access to HiPerGator, including 504 NVIDIA Blackwell B200 GPUs, through the group’s institutional allocation.
Applications must be submitted online. A complete application includes a cover letter, CV, research goals statement, and at least three references. Review begins on 2026-12-15. Deadline listed: 2027-06-30.
Funding details
Initial appointment is for two years, renewed annually, with a possible third year extension contingent on strong performance, mutual satisfaction, and availability of funds.
What's required
Ph.D. in Physics, Computer Science, or a closely related area is required. Preferred experience includes quantum many-body numerics (tensor-network methods, variational Monte Carlo including neural quantum states, stabilizer and near-Clifford simulation, Gaussian/free-fermion methods, open-system dynamics), machine learning for physical systems (deep learning, reinforcement learning, transformer architectures, large language models), or analytical many-body and quantum information theory (replica field theory for monitored/noisy quantum circuits, symmetry-protected topological phases, topological quantum computation, quantum error correction).
How to apply
Apply online via the Apply Now link at the top of the posting. Submit a cover letter, CV, research goals statement, and at least three references for full consideration. Applications are reviewed starting Dec 15, 2026.
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