Industrial PhD - Shared Situational Awareness
Scania / Administratörsjobb (offentlig verksamhet) / Södertälje
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hela Sverige At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through research and practical experiments that iteratively lead to concepts for industrialization.
Background
Vehicle autonomy has been heavily promoted as a means of improving transportation safety on the roadway. This goal, however, requires the vehicle to possess a high level of situational awareness---that is, the ability to correctly perceive and understand the surrounding environment and the other road users and how the scene evolves over time.
One of the reasons why human drivers can navigate in complex environments is that they augment their sensing capabilities and anticipate the need to react to potential hazards. However, this skill is not sufficient for many scenarios where impeding dangers are obstructed from view. For example, a car slamming on its brakes two vehicles ahead. With access to information from nearby vehicles, the driver could retrieve pertinent information of the occluded surroundings. In the previous example, the driver can be provided with the visual information of the preceding vehicle, and she would brake in advance avoiding the collision.
Project Description
You will be developing novel theoretical concepts and evaluate these in practice on an experimental testbed. The goal of this project is to investigate and develop a shared situational awareness framework for autonomous connected vehicles enabled by V2X communication. The framework will provide the ability to share information between connected vehicles and/or infrastructure. The vehicle will select the most effective and reliable decisions while navigating in uncertain or occluded environments.
Some of the main research questions are : 1) how much information should each vehicle broadcast; 2) what is the relevant information that each vehicle should broadcast (e.g., velocity, location, intended route, state of the surrounding agents, etc.); 3) how to modulate the amount of information that is sent over the network; 4) How this information can be mediated by smart traffic infrastructure (e.g., connected intersections).
To achieve these objectives, the industrial PhD student will pursue a multi-disciplinary research in the areas of multi-agent systems, machine learning, artificial intelligence, networked systems, probabilistic modelling and variational methods.
The results of this research project will be implemented in Scania's development environment for autonomous driving and they will be experimentally evaluated in operating prototype vehicles (trucks and buses) equipped with sensors and a platform setup for autonomous driving.
The final applicant in combination with this research project will be submitted to the Wallenberg AI, Autonomous Systems and Software Program (WASP) at the latest 26th April for external founding. As a PhD student within the WASP graduate school additional courses, research visits to partnering universities, and visiting lectures will be offered to support forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.
Your profile
To apply you should have a master of engineering degree (or equivalent) in applied mathematics, computer science, machine learning, robotics, engineering physics, or in a related technical science or engineering subject.
The candidate is expected to have a solid mathematical knowledge and demonstrable programming skills. We look for a candidate who is self-motivated, engaged, that can communicate in a pedagogic way to the team and the rest of the organisation.
Extra meritorious is:
• Knowledge and experience within software languages such as C++ and/or MATLAB/Simulink and/or Python along with a keen interest in programming.
• If you are fluent in English both in writing and in speech.
This research will be conducted in collaboration with the Decision and Control department at KTH - The Royal Institute of Technology, in Stockholm, under the supervision of Professor Karl H. Johansson and Associate Professor Jonas Mårtensson.
For additional information
Please contact Assad Alam, Manager, 08-553 896 41 or for detailed questions contact Jonas Mårtensson, Associate Professor - KTH, 070-1909798
Your application
Apply via our homepage:
www.scania.com/jobs at Scania latest by April 10. Job id 20191256. Interviews will be conducted continuously during the application period.
Your application should include a cover letter, CV and copies of your education certificate.
Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2019-03-26Ersättning•
Så ansöker duSista dag att ansöka är 2019-04-10
Klicka på denna länk för att göra din ansökanFöretagScania
AdressScania
Vagnmakarvägen 1
15132 Södertälje
KontorsadressVagnmakarvägen 1
Jobbnummer 4691696
Observera att sista ansökningsdag har passerat.