Industrial PhD Candidate in AI for Autonomous Vehicles
Scania / Elektronikjobb / Södertälje
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Are you a MSc graduate in Computer Science, Electrical Engineering, or a related field who is curious and passionate about cutting-edge AI solutions for Autonomous Driving? Have you always been enthusiastic about deepening your theoretical knowledge in AI via pursuing a PhD in the field? If your answer to both questions are positive, then apply here to hit two targets in one shot: be part of a unique journey in setting the future of Scania's innovative Autonomous Transport Solutions (ATS), and obtain your PhD from a pioneer academic research lab in the field of Computer Vision.
ATS Pre-Development & Research is part of Scania's research organisation working on sustainable transport solutions for the future. The work is done in close cooperation with Volkswagen group, leading technology suppliers and academic institutions. We take responsibility for creating a better and greener environment by finding answers to the questions on how we can achieve radically reduced emissions, manage the negative effects of ongoing urbanisation and save human lives in traffic.
We are currently investing heavily to push the boundaries of innovation and play a lead role in this ongoing industry transformation.
Your work duties
You will be an industrial PhD candidate employed full-time by Scania. This means that you will split your time between the associated department within Scania, where you will be working with development engineers in the team researching algorithms for developing cutting-edge Autonomous Transport Solutions and performing the applied part of your PhD studies, and the academic partner's site, namely Computer Vision Laboratory at Linköping University, where you will be pursuing your PhD.
The focus of your research in this position will be on the following topics and their applications in Autonomous Driving Systems:
• Deep Learning
• Computer Vision
• Image Processing
• Reinforcement Learning
• Localization
• Sensor Fusion
Your profile
Your curiosity and hunger for innovation constantly drives your willingness to develop and improve the environment that you work in. You, as an individual, have a drive to constantly develop and learn new technology.
On the technical side, you have a Master's degree in Computer Science, Electrical Engineering, or a related discipline. You need to have a strong mathematical background, solid programming competence, and very good communication skills, both in written and spoken English. Ideally you have some experience in working with and implementation of Machine Learning algorithms, e.g., during your Master thesis or via an industrial project. You have good working knowledge of Python and C++ as well as Vision and Machine Learning libraries like OpenCV, TensorFlow, Keras, and Scikit-Learn.
Having working experience within Scania is a merit.
Contact persons and supervisors
Alireza Razavi, PhD, Project Leader, 08-553 708 39.
Per Sahlholm, PhD, Head of Sensors & Machine Learning, 08-553 891 29.
Michael Felsberg, Professor, Computer Vision Laboratory, Linköping University, 013 282 460,
michael.felsberg@liu.seApplication
Apply via
www.scania.com/group/en/available-positions/ by 9 December. Job ID 20183597.
We look forward to receiving your application including a CV, cover letter and copies of certificates/ transcript of records.
Recruitment will happen continuously and the position may be filled before the final application deadline.
Further Information
As a Scania employee, you are offered several benefits in addition to personal and professional development opportunities. These benefits include mutual bonus, company car, occupational pension, flexible working hours, lunch at reduced prices and much more. If you live in Stockholm, we offer a direct bus service between Stockholm and Södertälje, Scania Job Express.
Scania är en världsledande leverantör av transportlösningar. Tillsammans med våra partners och kunder leder vi övergången till ett hållbart transportsystem. Under 2017 levererade vi 82 500 lastbilar, 8 300 bussar samt 8 500 industri- och marinmotorer till våra kunder. Vi omsatte närmare 120 miljarder kronor, varav 20 procent utgjordes av servicerelaterade tjänster. Scania grundades 1891 och finns idag representerat i mer än 100 länder, och har drygt 49 000 medarbetare. Forskning och utveckling är koncentrerad till Sverige, med filialer i Brasilien och Indien. Produktion sker i Europa, Latinamerika och Asien, med regionala produktcentra i Afrika, Asien och Eurasien. Scania ingår i Traton Group. För ytterligare information, besök
www.scania.com.Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2018-11-19ErsättningEnligt överenskommelse
Så ansöker duSista dag att ansöka är 2018-12-09
Klicka på denna länk för att göra din ansökanFöretagScania
AdressScania
Scania CV AB
15187 Södertälje
KontorsadressMeddelas vid eventuell kallelse till intervju
Jobbnummer 4465396
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