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The future belongs to those who are empowered by a great idea and have the ability to carry it out. At Volvo Car Group, our vision is clear: "To be the world's most progressive and desired luxury car brand" by simplifying people's lives. We have bold targets when it comes to innovation, sales and customer satisfaction and to make this happen, we need talented people onboard. People with passion, energy, business sense and the drive to innovate. People that want to create the next generation Volvo cars in a global, dynamic and respectful environment. We will support you to reach your full potential. Join us on this exciting journey into the future. After decades at the forefront of automotive safety, we have quietly become one of the world’s most tech-intensive car brands. The Big Data group is a part of Volvo Cars Research and Development organization.

Data is transforming the society and business in an ever-increasing rate and scale, and the Big Data group is committed to position Volvo Cars among the best in the discipline. This is achieved by constantly evolving state-of-the-art methodology, maintaining the technical center of excellence, research collaborations, and owning the resources required to process the vast amounts of data involved.

Role

As industrial PhD student, you will research on methods and tools for on-board off-board distributed data processing and analysis of vehicle data. The Vinnova FFI project OODIDA (On-board Off-board Distributed Data Analysis) would deliver methodological foundations and practical limitations for distributed data analysis platform that is efficient and privacy safe for gaining functional insights from customer’s perspective. The main research question will focus with research in the following areas:
* Live data analysis and subsequent continuous aggregation and transfer of statistical information from thousands of vehicles with consistent and deterministic intra- and inter-vehicle parallel and distributed analysis
* Development of statistical and machine learning algorithms and frameworks in a parallel and distributed environment

The position is a full-time employment and you will be a part of the Big Data group at Volvo Cars, as well as the Volvo Industrial Phd Program (VIPP). You will also be a PhD student at the department of Computer Science and Engineering (CSE) at Chalmers University of Technology, within the Distributed Computing and Systems (DCS) research group in the Networks and Systems Division, under the supervision of prof. Vincenzo Gulisano and Marina Papatriantafilou. The group has been acknowledged as one of the leading research groups in practical multi-core synchronization and programming internationally (with results adopted in Java JDK, C++) and has a strong background in data streaming and big data applications in the context of cyber-physical systems in energy and transportation.

Main responsibilities
* Perform research in the above mentioned areas and write academic journal papers and participate in related academic courses and conferences
* Document design and quality guidelines for on board off board distributed data analysis methods and programming models

Required skills and qualifications

To qualify as an industrial PhD student, you must have a solid background in Computer Science and Engineering or a related discipline, corresponding to a master's level degree.

Application

To apply, register your profile and attach your CV and cover letter. Please also submit copies of your bachelor and/or master’s thesis as well as attested copies and transcripts of completed education and grades, preferably included in the same file as the cover letter. Applications by e-mail will not be considered. Last application date is January 21st, 2018.

Contact

If you have any questions regarding the position, you are welcome to contact Peter Härslätt, Manager Big Data group: [email protected]

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About Volvo Car Group

The future belongs to those who are empowered by a great idea and have the ability to carry it out. At Volvo Car Group, our vision is clear: "To be the world's most progressive and desired premium car brand" by simplifying people's lives. We have bold targets when it comes to innovation, sales and customer satisfaction and to make this happen, we need talented people onboard. People with passion, energy, business sense and the drive to innovate. People that want to create the next generation Volvo cars in a global, dynamic and respectful environment. We will support you to reach your full potential. Join us on this exciting journey into the future.

Detta är en jobbannons med titeln "Industrial PhD Student - Data Science" hos företaget Volvo Car Corporation(Prd) och publicerades på webbjobb.io den 20 December 2017 klockan 11:50.

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