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About us @Safety Centre
At Volvo Cars Safety Centre, 170 highly skilled professionals strive every day for making the world a safer place for car drivers and everyone else on the road. We are proud of our track record to date including numerous world's firsts, all based on real world research and knowledge: exemplified by the safety belt (1959), SIPS (1991), WHIPS (1998), City Safety (2008), Pedestrian Detection with Full Auto brake (2010), and Run off Road protection (2015).
The future challenges and opportunities are exciting and through advanced technology and research we are developing safety with regard to injury prevention and collision avoidance, in addition to areas like Autonomous Drive, HMI, emotional safety and driver behaviour - all based on real world situations.
The groups working with collision avoidance analysis are analysing accident field data from different international real-world data sources including Volvo Cars' own Traffic Accident and Naturalistic Driving databases. They create methods for verification and validation of the safety performance of active safety (ADAS) and Autonomous Drive (AD) functions. The knowledge created is used to develop strategies, requirements, and methods for future Volvo passenger cars.
We are now looking for an industrial PhD student within Volvo Cars' Industrial PhD Program (VIPP). You will work within a team, interacting in national and international research projects, supervised and guided by experienced industrial supervisors within Volvo Cars Safety Centre, and academic supervisors at the Crash Analysis and Prevention (CAP) unit within the division of Vehicle Safety at Chalmers.
You will deliver research and scientific publications resulting in tools and methods for development of future safe Volvo Cars. You will fulfil the requirements for a Licentiate, followed by a PhD. After two years you are expected to prepare and present a licentiate thesis, and after 4-5 years, write and defend your PhD thesis. In addition, the position includes taking courses in line with requirements for a PhD exam at Chalmers and to teach and supervise Master students.
To produce an accurate simulation-based safety benefit estimate for a particular ADAS or AD technology, it is necessary to ensure that the baseline, i.e. the simulation representations of the original crashes which the technology is intended to prevent or mitigate, really represent the traffic safety problem one intends to solve. Your research will define how such baselines for simulation-based safety assessment should be created to provide optimal generalizability. In this area, you will be working on the following research topics:
• The first is that in-depth crash databases often lack the information required to do a full virtual reconstruction of a crash. For example, descriptions of precise lane position or time headway variation in the pre-crash phase are typically not available. The principles for adding data from other sources (such as naturalistic driving studies) to create a working simulation that addresses a specific ADAS or AD application must therefore be defined.
• The second issue is robustness. Since the number of available real crashes often is limited and may not represent the full range of potentially relevant pre-crash scenarios, one often needs to include synthetic crashes in the baseline. Synthetic crashes can be described as copies of an original crash where one or more variables, such as speed, time headway or driver deceleration, have been slightly altered for each copy, the basic idea being that synthetic crashes “fill in the gaps” between real crashes. By assessing a function’s safety performance with synthetic crashes as well, one makes sure that the function will perform robustly even if future real-world conflicts are slightly different than crashes that have already occurred. In this area, there is a clear need for further method development regarding how to properly fill in the gaps between real crashes and validate the resulting virtual crash batches, to create robust and generalizable simulations.
You must have a master's level degree in engineering or computer science or similar in order to qualify as a PhD student. You will need good knowledge of and extensive experience in programming (e.g., Python) and to be very comfortable using analysis tools such as Matlab.
Meritorious would be previous experience from project work, work in virtual safety evaluation, analysis of different types of traffic data and/or experience of ADAS simulations with any of the major commercial tools.
You as a person
You are a problem solver, with great analytic skills and a talent to do syntheses from a holistic view. You always keep a customer focus, a positive attitude and a high motivation. You have an inner drive and are truly innovative! Further, you are well organised but still flexible. You are a reliable team player who enjoys collaboration and possess excellent communication skills.
Last but not least, you share our genuine interest in traffic safety!
How to apply and learn more
Are you up for this interesting opportunity? To apply, please register your application via the link below as soon as possible but no later than June 4, interviews may be held continuously. Please note that due to GDPR we do not accept applications via email.
If you have any questions about the position, please contact Mattias Robertson, Manager Collision Avoidance Analysis, via phone +46733334544 or email firstname.lastname@example.org . For questions regarding the recruitment process please contact Sandra Viklund, Senior Recruiter, via email email@example.com .
Who are we?
Everything we do starts with people. Our purpose is to provide freedom to move, in a personal, sustainable and safe way. We are committed to simplifying our customers’ lives by offering better technology solutions that improve their impact on the world and bringing the most advanced mobility innovations to protect them, their loved ones and the people around them.
Volvo Cars’ continued success is the result of a collaborative, diverse, and inclusive working environment. The people of Volvo Cars are committed to making a difference in our world. Today, we are one of the most well-known and respected car brands, with over 40,000 employees across the globe. We believe in bringing out the best in each other and harnessing the true power of people. At Volvo Cars your career is designed around your talents and aspirations so you can reach your full potential. Join us on a journey of a lifetime as we create safety, autonomous driving and electrification technologies of tomorrow.
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