Improving Shortest Path Algorithms for Real-World Applications
2 weken geleden
Job Description
At ORTEC, we're pushing the boundaries of traditional shortest path algorithms to tackle the complexities of real-world traffic patterns. We're seeking a skilled master's student to join our team and help us develop innovative solutions for computing time-dependent shortest paths in dynamic environments.
The Challenge
We're looking for someone who can help us improve our algorithms to account for traffic congestion in shortest path computations. With millions of pairwise shortest paths to compute, we need someone who can think creatively and develop efficient solutions to keep up with our demanding requirements.
What We're Looking For
- A master's student in computer science, operations research, or a related field
- Strong engineering skills, including experience with compiled languages, data structures, and algorithms
- Practical experience implementing dynamic programming algorithms or running computations on GPU
- Fluency in English, both written and verbal
- Availability for 6 months, 32-40 hours per week
What We Offer
- Opportunities to work on cutting-edge projects that make a real impact
- A collaborative and dynamic work environment that fosters growth and development
- A competitive salary and benefits package
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