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About the position
Institution: Oslo Metropolitan University, Artificial Intelligence Group, Norway
Focus Area:
Developing multi-objective quantum-inspired evolutionary algorithms (QEAs) tailored for classical computing.
Addressing challenges in multi-objective integrative optimization (MIO) to deliver efficient solutions for complex, real-world industrial problems such as manufacturing and logistics.
Bridging gaps in current QEAs by innovating new quantum operators and encoding schemes suited to diverse problem structures.
Benefits:
Fully funded PhD position.
Collaboration with a dynamic AI research group.
Opportunity to contribute to cutting-edge AI and quantum computing advancements.
Research Highlights:
Formulating MIO problems by integrating kkk interrelated optimization problems with multiple conflicting objectives.
Applying quantum-inspired concepts like superposition, entanglement, and coherence for better optimization performance in classical computing environments.
Delivering practical industrial solutions for enhanced decision-making via Pareto-optimal fronts.
Application date
Application Deadline: 20 January 2025
How to apply
Visit the official job posting at Oslo Metropolitan University for detailed information and application instructions:
https://www.oslomet.no/en/work/job-openings/phd-fellowship-position-in-quantum-inspired-evolutionary-algorithm-for-multi-objective-integrative-optimization
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