Industrial PhD - Autonomous Vehicles
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, the other road users and how the scene evolves over time.
One of the reasons why human drivers can safely navigate in complex environments is that they augment their sensing capabilities and anticipate the need to react to potential hazards. As an example, a driver slows down because she foresees the risk of collisions that arises due to the presence of vulnerable road users, occlusions in the traffic scene, or unfavourable weather conditions.
At the current time, there is no established theoretical and technological framework that enables the same capability for self-driving vehicles.
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 situational awareness framework for decision making based on analysing, understanding, learning, and predicting the surrounding environment and its evolution. The complexity of this systems is given by: 1) scale (a lot of agents); 2) diversity (different kinds of agents; 3) relationships (inter-related agent are interacting with each other and their relationship changes over time); 4) infrastructural support (traffic rules and management systems). The framework will enable the possibility of selecting the most effective and reliable decisions while navigating in uncertain or occluded environments, minimizing the collision risk and maximizing efficiency and safety.
To achieve these objectives, the industrial PhD student will pursue a multi-disciplinary research in the areas of behavioural learning and prediction, machine learning, artificial intelligence, probabilistic modelling, formal- and variational methods.
This research project will be conducted in an agile multi-cultural research team within R&D. The team is responsible for concept evaluation and software development of tactical decision-making and situational awareness algorithms for autonomous driving.
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.
This research project will be conducted in an agile multi-cultural research team within R&D. The team is responsible for concept evaluation and software development of tactical decision-making and situational awareness algorithms 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 Robotics, Perception and Learning department at KTH - The Royal Institute of Technology, in Stockholm, under the supervision of Professor Patric Jensfelt and Associate Professor Jana Tumova.
For additional information
Please contact Assad Alam, Manager, 08-553 896 41 or for detailed questions contact Jana Tumova, Associate Professor - KTH, 070-6876096
Your application
Apply via our homepage:
www.scania.com/jobs at Scania latest by April 10. Job id 20191255. 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 4691344
Observera att sista ansökningsdag har passerat.