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PhD Fellowship in Quantum-Inspired Evolutionary Computation for Multi-Objective Optimization
2 weeks ago
The Department of Computer Science at the Faculty of Technology, Art and Design (TKD) invites applications for a PhD Fellowship position 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.
Area of ResearchThis project aims to develop a novel multi-objective quantum-inspired EAs that is specifically designed for classical computing environments. By utilizing quantum-inspired techniques, the objective is to provide industries with a practical and efficient solution for tackling real-world complex multi-objective optimization challenges in areas such as manufacturing and logistics.
- The primary goal of this project is to formulate and implement a multi-objective quantum-inspired EAs tailored specifically for classical computers, with a focus on addressing the prevalent challenges in the domain of multi-objective integrative optimization (MIO) problems.
- Real-world optimization problems, prevalent in industries, are often complex, involving different interrelated optimization problems with multiple interconnected and conflicting objectives.
In assessing the applicants, emphasis will be placed on the department's overall needs and the applicant's potential for research within the field.
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.
