Graduation Project: Time-Dependent Many-to-Many Shortest Path Planning Opportunity

2 maanden geleden


Zoetermeer, Zuid-Holland, Nederland ORTEC Voltijd

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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