Industrial PhD Candidate in Machine Learning

Scania genomgår nu en transformation från att vara en leverantör av lastbilar, bussar och motorer till en leverantör av kompletta och hållbara transportlösningar.

We are searching for an Industrial PhD Candidate in Machine Learning for  Autonomous Vehicle Perception.

Are you curious and passionate about machine learning for perception in autonomous vehicles? Do you have a MSc degree in Computer Science, Electrical Engineering, or a related field? This industrial PhD position is a rare opportunity to expand your knowledge and work in a dynamic and exiting field.

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. Autonomous vehicles are going to have a huge impact on the society. However, to realize such a complex system there are many challenges in the area of perception, planning and control.

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. The partner in this project will be Department of Information Science & Engineering at KTH.

The goal of the project is to deal with the challenges in perception domain for off-road scenarios with the help of machine learning techniques using different sensors like – Camera, LiDAR and Radar.

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:
Per Sahlholm, PhD, Head of Sensors & Machine Learning, 08-553 891 29.

Application
Apply via http://www.scania.com/group/en/available-positions/ by 9 December. Job ID 20183596.

We look forward to receiving your application including a CV, cover letter and copies of certificates.

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 http://www.scania.com.