Time-Dependent Shortest Path Planning Expert
2 maanden geleden
Job Title: Graduation Project: Time-Dependent Many-to-Many Shortest Path Planning
Job Description:
We are seeking a talented master's student in computer science or a related field to investigate how to improve our algorithms for computing time-dependent shortest paths on a static graph, such as a road network. The goal is to develop efficient methods for computing shortest paths that take into account traffic congestion, allowing us to optimize delivery routes for thousands of customers.
The Challenge:
In this project, you will work on developing advanced data structures and algorithms to compute time-dependent shortest paths. You will investigate how to use assumptions about the input graph to improve computation times, while ensuring that the results are accurate and reliable.
Requirements:
- Master's degree in computer science or a related field
- Strong programming skills, including experience with compiled languages and data structures
- Practical experience with dynamic programming algorithms and GPU computing
- Fluent English communication skills
- Availability for 6 months, 32-40 hours per week
What We Offer:
- Opportunity to work on a challenging project with a talented team
- Excellent supervision and support during your graduation project
- Good internship allowance, laptop, and other office facilities
- Open, kind, and fun company culture
How to Apply:
Upload your CV, motivation letter, and grade lists (BSc and MSc in one PDF if applicable). The recruitment process will consist of two online assessments, a first interview, and a second interview with a case.
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