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Industrial PhD Student in Models and Autonomous Driving

Job in Town of Sweden, Monroe County, New York, USA
Listing for: Scania
Apprenticeship/Internship position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Robotics
Salary/Wage Range or Industry Benchmark: 43470 - 57960 USD Yearly USD 43470.00 57960.00 YEAR
Job Description & How to Apply Below
Position: Industrial PhD Student in World Models and Autonomous Driving
Location: Town of Sweden

This position is within one of TRATON’s companies.

Industrial PhD Student in World Models and Autonomous Driving

TRATON is a group of strong brands with a shared mission: transforming transportation together to create the future of sustainable transport solutions. Within TRATON, we include MAN, Scania, Volkswagen Truck & Bus, and International. As part of a global team of industry experts, you get to think bigger, experience more, and reach further. Together, we have the power to transform transportation.

Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do.

Perhaps you hold a Master’s degree in a relevant field or are about to graduate in the coming months. Maybe you are looking for the opportunity to pursue a PhD while remaining close to real-world industrial challenges. If so, please continue reading.

Role Summary

The PhD project

Have you ever thought about how effortlessly we navigate through the world? Most of the time, we move through familiar environments almost automatically, relying on our senses and an internal understanding of how the world works. Yet when something unexpected happens, we immediately switch to a more deliberate mode of reasoning.
Can we build autonomous vehicles that do something similar while maintaining the level of safety required for real-world deployment?

The goal of this project is to endow our vehicles with the ability to represent and understand the world in order to safely navigate through it
. This will entail developing end-to-end trainable models that transform multimodal sensor data into compact and informative representations that support real-time trajectory planning. A particular focus of the project is understanding how compact world representations can support real-time decision-making under realistic industrial constraints.

Heavy-duty vehicles introduce challenges that differ from passenger cars. They are often articulated, their mass can vary significantly depending on the load, and they require specialized maneuvers to navigate safely.
The models we develop must therefore be efficient, robust, and able to generalize across different vehicle configurations.

This Is Us

Within TRATON Group R&D, you are an important part of something bigger. Joining us means gaining access to the ins and outs of the entire transportation industry.

At TRATON, you will work with teams developing autonomous transport solutions, with a particular focus on autonomous trucks that can operate both in confined areas and on public roads. You will work with research engineers as well as other industrial PhD students who like collaborating on great ideas. We will support you in developing your ideas and incorporating them into the TRATON solutions.

You will not only have great team support at TRATON, but you will also be a PhD student in the Robotics, Perception, and Learning (RPL) department at KTH, Royal Institute of Technology, where Professor Patric Jensfelt and Assistant Professor Olov Andersson will guide and supervise your doctoral studies. You will be employed by TRATON on a permanent basis with the same benefits as other TRATON employees, while concurrently being associated with KTH as a PhD student.

Who You Are

We welcome applicants from all backgrounds – your unique experience and perspectives is valuable to us.

You hold a Master’s degree in a relevant technical field, with strong mathematical foundations, proven programming skills, and a clear interest in machine learning, robotics, and autonomous systems.
You are curious about how complex systems work and motivated by solving difficult real-world problems. You enjoy both scientific research and practical engineering, are comfortable…

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