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Postdoctoral Position in Multi-Objective Optimization with Quantum-Inspired Methods
2 weeks ago
We are seeking a highly motivated and goal-oriented researcher to join our team as a PhD Fellow in artificial intelligence with quantum computing. The project combines evolutionary algorithms (EAs) with quantum computing, focusing on its application in complex multi-objective optimization problems. The PhD candidate will be part of the Artificial Intelligence academic group.
Key ResponsibilitiesThe successful candidate will conduct research in the area of quantum-inspired evolutionary computation for multi-objective optimization. Key responsibilities include:
- Developing and implementing a novel multi-objective quantum-inspired EAs for classical computing environments.
- Investigating the application of quantum-inspired techniques in tackling real-world complex multi-objective optimization challenges.
- Collaborating with the research group to achieve the project goals and objectives.
The position is advertised as a 3-year position with 100% research, or a 4-year position with 75% research and 25% other career-advancing work.
