Master Thesis - Västerås

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Date: 7 Nov 2024

Location: Vasteras, SE

Company: Alstom

Req ID:471963 

 

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

 

We are looking for a Master thesis student to join our team in Västerås!

 

Topic proposed: A survey of intelligent driver machine interfaces in transportation cockpits

Duration: 20 weeks (Master) / 10 weeks (Bachelor), on site

 

Background

Recent years have witnessed a booming application of artificial intelligence in the cockpits of all transportation modes, especially automotive. Various AI-based features have been developed and deployed in rich application scenarios with benefits demonstrated, not only to the safe and efficient driving tasks, but also reliability, availability and maintainability of the HMI devices.  

 

Problem description and goals

This thesis aims to investigate the application of AI technology in the driver’s cab focusing on the interaction through the human machine interface. The goal is to understand the benefits and limitations of various AI-based solutions in the different transportation modes, and explore the applicabilities to railway.

 

  1. Perform a comprehensive survey on the AI based solutions for driver machine interfaces of the following sectors: railway, automotive (including heavy vehicles), aviation, maritime.  

  1. Categorize the technologies used behind the solutions, and explain the strengths, limitations and benefits. 

  1. Applicability study of the surveyed solutions and technologies to railway. This may involve interviews with railway HMI experts and/or train drivers. 

 

You will be introduced to the driver machine interface of the trains. 

The thesis can be either a bachelor or a master thesis, which differ in depth and scope. 

 

All about you

You should have background in software engineering, embedded systems, computer science, human computer interaction, or another related field. Knowledge of artificial intelligence is mandatory. 

 

Things you’ll enjoy

Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also:

  • Collaborate with transverse teams and helpful colleagues
  • Contribute to innovative projects
  • Benefit from our investment in your development

 

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

 

Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63  countries we operate in. We’re committed to creating an inclusive workplace for everyone.


Job Segment: Embedded, Computer Science, Technology

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