Research Fellow
HybridMelbourne, Victoria, Australia
Job Summary
Conduct independent research on quantum sensing and quantum computing, investigating which sensing challenges can be solved efficiently using classical and quantum approaches. Develop new computational frameworks spanning sensing optimisation, adaptive sensing protocols, short-depth quantum circuits, and variational algorithms. Collaborate with Cornell University and leading researchers to formulate complex research problems, apply analytical or numerical methods, and prepare publications and presentations. Work constructively within a collaborative environment while maintaining the capacity to mentor research students and contribute to grant-funded projects.
Required Qualifications
- A PhD, or evidence of imminent PhD completion, in quantum information, physics, mathematics, computer science, or a closely related discipline
- Demonstrated research experience in quantum information theory
- Strong understanding of the mathematical foundations of quantum mechanics and quantum information science
- Demonstrated expertise in at least one of the following areas: quantum complexity theory, quantum algorithms, or quantum error correction
- Demonstrated ability to formulate and investigate complex research problems
- Demonstrated ability to apply appropriate analytical or numerical methods
- Demonstrated ability to interpret results
- Demonstrated ability to contribute to the preparation of publications and research presentations
- Demonstrated ability to work independently
- Demonstrated ability to contribute effectively within a collaborative research environment
- Capacity to work constructively with colleagues, project leaders, students and external research partners
- Excellent written and verbal communication skills
- Ability to communicate complex technical concepts clearly to specialist and broader audiences
- Appointment to this position is subject to passing a Working with Children and National Police Check
Desired Qualifications
- Research experience in quantum metrology, quantum sensing or quantum parameter estimation
- Experience with convex or semidefinite optimisation, variational methods, or computational complexity
- Proficiency in relevant scientific programming or quantum-software tools, such as Python, Julia, MATLAB, Mathematica, Qiskit, PennyLane or equivalent platforms
- Experience mentoring or co-supervising research students
- Contributing to collaborative grant-funded projects
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