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Hadis Karimipour

3 months ago

PhD and Postdoc Positions in Quantum-AI Security, Cyber Defense, and Adaptive Architectures at University of Calgary University of Calgary in Canada

Degree Level

PhD, Postdoc

Field of study

not provided

Funding

Funding details are not explicitly stated, but the positions are research-based and likely include standard university stipends for PhD students and postdoctoral fellows. No information on stipend amount, tuition coverage, or additional financial support is provided.

Deadline

Expired

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Country

Canada

University

University of Calgary

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Where to contact

Official Email

About this position

The Smart Cyber-Physical Systems (SCPS) Lab at the University of Calgary is recruiting multiple PhD students and postdoctoral fellows for cutting-edge research in quantum-AI security, threat analytics, and adaptive cyber defense architectures. PhD opportunities include projects on hybrid quantum-classical methods for threat detection, anomaly correlation, and vulnerability mapping across cyber-physical and industrial systems, as well as the design of cognitive and explainable AI agents for cyber defense against zero-day and adversarial threats. The postdoctoral fellowship focuses on leading the development of adaptive quantum-AI defense architectures, including self-learning, zero-trust, and post-quantum-ready security frameworks capable of autonomous response and continuous resilience improvement.

Applicants should have a strong background in AI-driven cybersecurity, quantum computing, or cyber-physical/OT systems, with experience in machine learning, graph neural networks, or quantum algorithms. An excellent publication record and strong communication skills are required. The positions are supervised by Dr. Hadis Karimipour, Canada Research Chair (Tier II) in Secure and Reliable Cyber-Physical Systems.

Interested candidates should send their CV to Dr. Karimipour. Funding details are not specified, but standard university support for research positions is expected. The application deadline is not mentioned; early applications are encouraged.

Funding details

Funding details are not explicitly stated, but the positions are research-based and likely include standard university stipends for PhD students and postdoctoral fellows. No information on stipend amount, tuition coverage, or additional financial support is provided.

What's required

Applicants should have a strong foundation in AI-driven cybersecurity, quantum computing, or cyber-physical/operational technology systems. Experience with machine learning, graph neural networks, or quantum algorithms is preferred. Candidates should demonstrate an excellent publication record and possess strong communication skills. PhD applicants must hold a relevant master's degree; postdoctoral candidates should have a completed PhD in a related field.

How to apply

Send your CV directly to Dr. Hadis Karimipour at [email protected]. Ensure your application highlights relevant experience and publications. Await further instructions from the supervisor.

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