Key Responsibilities
- Develop advanced optimization algorithms leveraging quantum-inspired methodologies to solve complex problems in logistics, supply chain management, and resource allocation
- Collaborate with multidisciplinary teams including senior researchers and junior research interns to refine and implement algorithmic solutions
- Design and optimize computational frameworks using Python, C, and C++ to enhance algorithmic performance and scalability
- Conduct independent research to explore intersections between quantum and classical optimization approaches
- Publish findings in peer-reviewed journals and present results at conferences or internal seminars
- Mentor junior researchers and interns in algorithmic development and optimization techniques
Requirements
- Ph.D. in a STEM discipline, preferably computational physics; postdoctoral experience is highly desirable
- Strong expertise in convex optimization methodologies and algorithmic design
- Proficiency in programming languages such as Python, C, and C++
- Ability to work independently while contributing effectively to a collaborative research environment
- Willingness to engage at the intersection of quantum and classical optimization approaches