Publisher
source

University of Florida

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

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Country

United States

University

University of Florida

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Keywords

Computer Science
Materials Science
Mathematics
Condensed Matter Physics
Quantum Computing
Many-body Systems
Quantum Communication
Physics

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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.

More information can be found here

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