Postdoc: Hardware-Aware Quantum ML Architectures

Cph Ai Hub; Odense; Hybrid; DKK 420,000 - 540,000; Full time

Benefits offered by this job

Lecturer Training Programme

Mentoring

Research proposal support

Interdisciplinary collaboration

Job summary

University of Southern Denmark (SDU) in Odense invites applications for a one-year postdoctoral researcher position in Intelligent Computing Architectures, focusing on Hardware-Aware Quantum Machine Learning. The role covers design, simulation, training, and evaluation of hybrid quantum-classical learning systems under realistic hardware constraints, with collaboration across academia and industry.

The successful candidate will contribute to proposals, publications, and project reporting,

Qualifications

• Experience in quantum programming using frameworks such as Qiskit and PennyLane, and quantum circuit simulation.
• Strong programming and machine learning background; knowledge of quantum ML is a plus.
• Excellent research track record demonstrated by publications and collaboration skills.
• Fluent English communication.

Responsibilities

• Design, implement, and simulate hybrid quantum‑classical learning models under hardware constraints.
• Conduct reproducible experimental evaluations of learning performance, trainability, and resource requirements.
• Collaborate with Danish and international partners, contribute to research proposals, funding applications, and technical reports.

Job description

University of Southern Denmark (SDU) in Odense invites applications for a one-year postdoctoral researcher position in Intelligent Computing Architectures, focusing on Hardware-Aware Quantum Machine Learning. The role covers design, simulation, training, and evaluation of hybrid quantum-classical learning systems under realistic hardware constraints, with collaboration across academia and industry.

The successful candidate will contribute to proposals, publications, and project reporting,