Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2017, we delivered 82 500 trucks, 8 300 buses as well as 8 500 industrial and marine engines to our customers. Net sales totalled nearly SEK 120 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 49 000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centres in Africa, Asia and Eurasia. Scania is part of Traton Group. For more information visit www.scania.com.
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.
Thesis project at Scania is an excellent way of making contacts for your future working life. Many of our current employees started their career with a thesis project.
Scania’s IoT platform consists of trucks, buses and engines whose sensors and controllers are connected to Scania’s central servers. The connection is via a communication device that sends and receives data via the mobile network.
Scania offers its customers a number of services that use the IoT platform to retrieve and send data. A subset of data is also used internally to improve Scania’s products and internal processes.
Several previous thesis projects have investigated the possibilities of using Blockchain in Scania’s connected services and listed a number of use cases where it would be useful. Some practical tests have also been made.
Understand how we can use Blockchain technology to further increase trust in Scania’s products and / or services.
In this thesis, we want to investigate how we can use the support for Blockchain in AWS (Amazon Web Services) to realize a specific use case and argue for any possible pros and cons it would give us compared to conventional technology.
The thesis may consist of the following parts:
Masters programme in Computer Science or similar
Number of students: 1-2
Start date: Late autumn 2018 or spring 2019
Estimated time needed: 20 weeks
Contact persons and supervisors:
Sussi Miller Tiedemann, solution architect and supervisor, +46736688416
Katarina Prytz, manager, +46765166809
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