Learning policies in transportation networks and predicting performance metrics
At Centiro we are constantly on a journey of discovery. We think outside the box and strive to stretch the boundaries of possibilities. We create something unique everyday – something which is more than a software company. We believe in innovation and the strong power of collaboration. Our ambition is to deliver the best solutions for our customers and at the same time be the best possible place to work. Do you want to be a part of our continued journey?
Background
Every year, billions of parcels are being delivered. All of these become data points in an ever changing, complicated world. This makes it interesting from a data science perspective. With the use of shipment data, we might be able to gain valuable insight into how a transportation network behaves and changes. Moreover, it may prove useful for predicting future behavior.
Carriers’ transportation networks can be interpreted as directed graphs. Edges are defined as routes containing information about distance, transport mode, and shipments’ weight. Nodes are defined as hubs/warehouses and source/destination points. A transport chain in a network is equivalent to a shipment travelling from a source- to a destination node and can be viewed as a Markov chain process. Furthermore, the shipments’ tracking events can be used to model and assert the intermediary nodes between the source and destination nodes.
Areas of interest to explore:
- Learn or find existing policies in a transportation network determining the transport chains.
- Analysis of correlation between lead time, emission and distance.
- Applying machine learning for predicting future behavior.
- Simulate values for performance metrics using stochastic sampling from learned distributions with injecting, removing, or modifying nodes in the network and analyzing its impacts.
How?
You will have access to historical shipment and tracking events data with additional datasets containing locations of hubs in the transportation networks.
Skills
A good mathematical and statistical foundation as well as familiarity with Python and SQL is necessary.
When
Spring of 2025
You are…
Master students with focus on mathematics, programming, data analysis, machine learning and algorithms.
- Our office
- Borås
- Locations
- Global Hub
Global Hub
A Culture Based on Innovation
Centiro likes diversity, in gender, culture and competence. We love introverts and extroverts alike. Together we build a workplace for human beings exploring their full potential - having fun in the process.
Centiro has won several awards and accolades over the years and is ranked as one of the best places to work in Europe by
Great Place to Work®.
About Centiro
Centiro is a Swedish software company with more than 650 employees. Our solutions empower marquee brands and finer supply chains in 175+ countries. We believe in enabling and empowering commerce for companies with winning aspirations who seek to make a difference. Core focus is to connect and enable cloud-based delivery and service networks in the world of digital. Centiro has received numerous awards and honors, including Great Place to Work®. Founded in 1998, with offices in Sweden, India, the UK, Spain, Canada and the US. Read more at centiro.com.
Learning policies in transportation networks and predicting performance metrics
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