Postdoctoral Research Associate in Quantum Many-Body Systems
Develop classical benchmarking methods for quantum simulations of bosonic systems on near-term hardware.
Best for:Best for postdoctoral researchers with expertise in quantum simulation, tensor networks, and computational physics seeking to contribute to cutting-edge quantum algorithms and hardware validation.
Overview
This postdoctoral position at King’s College London focuses on advancing quantum simulation techniques for bosonic systems coupled to qubits. The role involves classical benchmarking using tensor networks and Pauli propagation to validate quantum hardware results on Google’s Willow processor. The project targets classically intractable problems in energy, materials, and technology by addressing challenges in Hilbert space scaling, non-Gaussian dynamics, and hardware topology mapping. The successful candidate will collaborate with academic and external partners to deliver high-impact research within a 9-month fixed-term contract.
What you'll do
- Develop and implement classical benchmarking methods using tensor networks and Pauli propagation for quantum simulations of bosonic systems.
- Collaborate with academic and external partners to validate quantum hardware results on Google’s Willow processor.
- Conduct independent numerical research to simulate smaller systems and compare them with quantum results.
- Contribute to publications, reports, and presentations detailing research findings and technical assumptions.
- Ensure open, reproducible, and well-documented research practices, including proper data and software management.
- Work effectively within a collaborative research environment involving both academic and external stakeholders.
Requirements
Degree required: PhD in theoretical physics, computational physics, quantum information, quantum computing, applied mathematics, computer science, or a closely related discipline. Candidates awaiting PhD award may be considered under King’s Grade 6 research clause.
Language: English; proficiency required for academic communication and collaboration
Instruction: English
- Strong research experience in tensor networks, Pauli propagation, quantum information, quantum algorithms, many-body physics, or quantum simulation.
- Excellent programming skills in Python, Julia, or C++ with evidence of producing reliable research code.
- Ability to carry out independent numerical research, validate results, and communicate technical assumptions clearly.
- Strong written and oral communication skills for contributing to publications, reports, and presentations.
- Commitment to open, reproducible, and well-documented research practices.
- No formal nationality or residency restrictions mentioned.
- Candidates awaiting PhD award may be considered under King’s Grade 6 research clause.
Funding & terms
How to apply
Deadline: 2026-10-20
Applicants must submit their CV, cover letter, and research statement through the King’s College London recruitment portal. Ensure your application includes evidence of programming skills and research experience in relevant areas. Additional documents may be requested during the selection process.
- CV
- Cover letter
- Research statement
- Evidence of programming skills and research experience
Contact
First Last· Recruitment Contact
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