Industrial PhD position in Learning-Based Localization
Scania CV AB / Elektronikjobb / Södertälje
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hela Sverige Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.
Autonomous vehicle development at Scania is advancing at a very high pace and self-driving trucks and buses on public roads will soon be commonplace. Autonomous Transport Solutions (ATS) Research at Scania is responsible for developing, testing, and piloting future frontier autonomous driving concepts.
Background
Accurate and robust localization is an essential ability of a robot to safely navigate within its environment. Existing methods to achieve this task are global positioning systems, inertial navigation systems, lidar-based algorithms, and vision-based methods, among others.
Learn to localize
Even though state estimation is a solid and well-studied field, when applied for vehicle localization, there are many aspects where learning approaches can help in complementing and improving its performance. Especially, for the localization aspects that are harder to model or that require extensive parameter tuning. Among others, they can include improving over hand-crafted features, data association methods, uncertainty modeling, multimodal feature selection, sensor failure prediction and recovery from failures.
The goal of this project is to investigate the interplay between task-based learning approaches and probabilistic state estimation to achieve robust and accurate vehicle localization.
To achieve these objectives, the industrial Ph.D. student will pursue multi-disciplinary research in the areas of state estimation, deep learning, optimization, and sensing technologies. This work will be performed in collaboration with Autonomous Transport Solutions (ATS) Research at Scania and the division of Robotics, Perception, and Learning at KTH-Royal Institute of Technology, under the supervision of Assoc. Prof. John Folkesson (academic supervisor) and Dr. Rafael Valencia (industrial supervisor).
Your profile
To apply, you should have a Master of Engineering degree (or equivalent) in robotics, computer vision, machine learning, computer science, applied mathematics, engineering physics, electrical engineering, or in a related technical science or engineering subject. We welcome applicants that are currently completing their master thesis project.
The successful candidate has solid mathematical knowledge and proven programming skills. We look for candidates that are self-motivated, engaged, and can communicate in a pedagogic way to expert and non-expert audiences. You exhibit strong analytical skills, are well-organized, and are able to autonomously plan and execute tasks. You are fluent in English both in writing and in speech.
Requirements
• Solid theoretical knowledge of state estimation, machine learning, and mathematics (Linear algebra, probability theory, optimization, statistics).
• Experience with deep learning frameworks and architectures.
• Passion and interest in coding, industrial research, and demonstrating theoretical results in real robotic platforms.
Extra meritorious if you have experience in one or more of the following:
• Developing within a Linux-based development environment.
• Solid Python, C++, ROS, and system-building skills.
• Knowledge and experience within other programming languages and/or MATLAB along with a keen interest in software development.
• A proven interest in interdisciplinary research and a record of the initiative.
Contact information
For more information, you are welcome to contact Mansoureh Jesmani, EARD, +46855350359,
mansoureh.jesmani@scania.com Application
Apply with CV, cover letter, copies of your education certificate and transcript, and names and contact details for two references.
The final application date is November 18, 2022. Interviews will take place continuously during the application period. A background check might be conducted for this position.
IMPORTANT: APPLICATIONS WITHOUT TRANSCRIPT OF RECORDS WILL NOT BE CONSIDERED
We are looking forward to your application!
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 2020, we delivered 66,900 trucks, 5,200 buses as well as 11,000 industrial and marine power systems to our customers. Net sales totalled to over SEK 125 billion, of which over 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 50,000 people. Research and development are mainly concentrated in Sweden. Production takes place in Europe and Latin America with regional product centres in Africa, Asia and Eurasia. Scania is part of TRATON GROUP. For more information visit:
www.scania.com.Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2022-11-01ErsättningEnligt avtal
Så ansöker duSista dag att ansöka är 2022-11-18
Klicka på denna länk för att göra din ansökanFöretagScania CV AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Scania CV AB (org.nr 556084-0976),
https://www.scania.com/world/#/ Arbetsplats Scania
Jobbnummer 7129152
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