Research Engineering Positions for Autonomous Transport Solution

Scania CV AB / Maskiningenjörsjobb / Södertälje
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Scania is one of the world's leading manufacturers of trucks and buses for heavy transport, and of industrial and marine engines. A growing part of the business consists of maintenance and service, assuring Scania customers of cost-effective transport solutions and maximum uptime. Scania also offers financial services. Scania operates in about one hundred countries and has 42,000 employees. Research and development activities are concentrated in Sweden. Production takes place in Europe and South America, with facilities for global interchange of both components and complete vehicles. In 2014, invoiced sales totalled SEK 92.1 billion and net income after tax amounted to SEK 6 billion. Scania press releases are available at www.scania.com

Research Engineering Positions in Artificial Intelligence for Autonomous Transport Solutions

We are now recruiting research engineers to develop autonomous vehicles and to shape the transport solutions of the future. Smart decision making is very important when designing autonomous vehicles, and there are many essential aspects on which to focus: situation awareness, task planning, multi-vehicle coordination, fleet optimization, execution monitoring and accurate non-holonomic motion planning, just to mention a few.
Before decisions can be made, sensor data must be used to assess the situation around an autonomous vehicle (e.g., to infer the intentions and predict the behaviours of other road users). Autonomous vehicles must be able to take smart decisions without continuous supervision, and to implement them by planning accurate, optimized and most importantly safe maneuvers. At a fleet level, multi-vehicle coordination and transport optimization are essential to reduce congestions and minimize environmental impact.

Your task
You will join a team whose focus is to design and develop algorithms and techniques for:
• Coordinating the operation of a fleet of autonomous heavy vehicles in different, full scale settings
• Collecting, aggregating and understanding data from different sensor sources
• Interpreting traffic situations both on highways and in urban settings
• Planning and reasoning to automatically generate efficient and safe courses of action
• Execution monitoring both at vehicle and fleet level
Each team member is expected to work in close cooperation with the other colleagues and to participate in the whole software development cycle, from algorithmic design and prototype implementation to testing in simulation and on real heavy vehicles.

Your profile
A successful candidate holds a Master degree in in Robotics, Computer Science or a related field and 3+ years of relevant work experience. The candidate should have understanding of and experience with at least one of the following areas of Artificial Intelligence: .Probabilistic reasoning
• Planning and scheduling under uncertainty
• Automated reasoning
• Multi-objective optimization
• Motion planning
Strong analytical skills and a solid mathematical foundation are also required, as well as provable hands-on experience in designing and developing algorithms and good understanding of computer systems. The candidate will also have several years of development experience in C/C++ and/or Matlab/Simulink. Previous work with robotic systems or autonomous vehicles is highly desirable. Candidates must be able to work both independently and in a collaborative environment.

Our team is part of Scania Research and Development, and we focus on long term development of sustainable transport systems. We have the ambitious task of drastically reducing the environmental footprint, increase the efficiency of the entire transport system and to develop solutions for eliminating traffic accidents.
Our facilities are situated in Södertälje, a medium size city located only 20 minutes away from the heart of Stockholm, Sweden.

For more information
Jon Andersson, +46 (0)8-553 899 57
Lars Hjorth, +46 (0)8-553 525 19

Varaktighet, arbetstid
Tillsvidare
Heltid

Publiceringsdatum
2016-08-19

Ersättning
Fast månads- vecko- eller timlön

Så ansöker du
Sista dag att ansöka är 2016-09-09
Sök via vår hemsida Klicka på denna länk för att göra din ansökan
Your application should include a CV, cover letter and copies of any certificates.
Ange följande referens när du ansöker: Job Id: 20160956

Företag
Scania CV AB

Adress
Scania CV AB
15187 SÖDERTÄLJE

Kontorsadress
Nyköpingsvägen 33-41

Övriga kontaktuppgifter
Telefonnummer: 08-55381000

Jobbnummer
3003027

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