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Quantum Algorithm Researcher



Job description

Job Title: Quantum Algorithm Researcher / Scientist (1 Position)



About the Job

We are seeking one ambitious and curious Quantum Algorithm Researcher / Scientist to join our quantum research team.

In this role you will lead the design, analysis, and prototyping of novel quantum algorithms for optimisation, simulation, cryptography, and quantum-enhanced machine learning.

You will work closely with theorists, quantum software engineers, and cloud operations to translate theoretical advances into reproducible, benchmarked implementations on simulators and real quantum hardware.



Responsibilities

Research & Theory: Develop new quantum algorithms and theoretical improvements (complexity bounds, error-resilient constructions, hybrid schemes).

Algorithm Prototyping: Implement and prototype algorithms using quantum SDKs (Qiskit, Cirq, PennyLane, Braket), produce reproducible notebooks and libraries.

Benchmarking & Evaluation: Design rigorous benchmarks, run simulations and hardware experiments, measure performance under realistic noise models, and compare against classical baselines.

Hybrid Methods: Explore and develop hybrid quantum-classical approaches (VQE, QAOA, QML hybrids) and optimisation strategies for near-term devices.

Collaboration: Work cross-functionally with quantum software, hardware, and engineering teams to integrate algorithms into toolchains and production workflows.

Publication & Dissemination: Prepare technical reports and research papers; present findings at conferences and internal seminars.

Mentorship & Knowledge Sharing: Mentor junior researchers, run reading groups, and contribute to internal best practices for reproducible quantum research.

Roadmapping: Help define research roadmaps and identify promising application areas for quantum advantage.



Qualifications

Academic Background: PhD (preferred) or MSc with strong research experience in quantum computing, theoretical computer science, physics, or a closely related field.

Research Track Record: Demonstrable research output (publications, preprints, or open-source projects) in quantum algorithms, complexity, or quantum information theory.

Technical Skills: Strong programming ability in Python and experience with quantum SDKs (Qiskit, Cirq, PennyLane, Braket) and classical scientific stacks (NumPy, SciPy, Jupyter).

Algorithmic & Mathematical Depth: Deep understanding of linear algebra, probability, optimisation, and algorithmic complexity.

Experimentation: Experience with quantum simulators, noise modelling, and running experiments on cloud quantum backends; familiarity with transpilation/compilation concepts is a plus.

Communication: Excellent written and verbal communication; ability to explain technical ideas to both researchers and engineers.

Collaboration: Proven ability to work in multidisciplinary teams and to convert theoretical ideas into implementable prototypes.

Curiosity & Initiative: Passion for cutting-edge research, a bias toward reproducibility, and a drive to push algorithms toward practical impact.



If you are excited to push the frontiers of quantum algorithms and help bridge theory and practice for near-term and future quantum systems, please apply with your CV, links to publications or repositories, and a short summary of a quantum algorithm project you led.


Required Skill Profession

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