Graduation Project: Time-Dependent Many-to-Many Shortest Path Planning Opportunity
2 maanden geleden
Job Overview
ORTEC is seeking a talented master's student to investigate and develop advanced algorithms for time-dependent shortest path planning in static graphs. The goal is to improve our current algorithms to consider traffic congestion and compute optimal routes for various scenarios.
Key Responsibilities
- Develop and implement advanced data structures and algorithms to optimize shortest path computations in the presence of traffic congestion
- Investigate and apply dynamic programming techniques to improve computation times
- Collaborate with our team to integrate the new algorithms into our existing infrastructure
- Contribute to the development of a time-dependent shortest path planning system
Requirements
- Master's degree in Computer Science, Operations Research, or related field
- Strong programming skills in compiled languages, with experience in implementing data structures and algorithms
- Practical experience with dynamic programming and parallelization techniques
- Fluent communication skills in English, both verbally and in writing
- Availability for 6 months, working 32-40 hours per week
What We Offer
- A dynamic and passionate work environment with a focus on applied mathematics
- Excellent supervision and support during your graduation project
- Good internship allowance, laptop, and other office facilities
- An open and inclusive company culture
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