**Job Description**
One PhD student will be hired to conduct research in the domain of quantum computing applied to optimization problems. Possible research areas include variational quantum algorithms for optimization, quantum annealing, quantum-inspired optimization, quantum machine learning with an emphasis on classical optimization of QML algorithms, noise mitigation in relation to optimization algorithms, and other closely related topics.
**Skills & Abilities**
• Advanced knowledge in Quantum Computing
• Knowledge of Python
• Good communication skills
• Collaborative mindset
• Full professional proficiency in English
• Hands-on experience with at least one paradigm for quantum optimization (e.g., QAOA, Quantum annealing) (Good to have)
• Knowledge of quantum computing SDKs (e.g., Qiskit or Pennylane) (Good to have)
**Qualifications**
Required Degree(s) in:
• Computer science
• Physics
• A related field
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