Development and implementation of cloud based fault tracing

Development and implementation of cloud based fault tracing - Diagnostics & Dependability

At Research & Development you will be a key contributor to the next generation outstanding luxury cars from Volvo. Together with other engineers around the world, you and your team will create innovative human-centric car technology that makes life less complicated and more enjoyable for people. Are you interested in design and connected car technology? Do you share our passion for people, the environment and our urge to create a superior driving experience? Research and Development is the place for you to prosper.

The section Diagnostic & Dependability consists of over a hundred highly motivated engineers. We work in all development phases; from early advanced engineering to after sales market follow up, with Powertrain diagnostic and dependability where we are responsible for strategies, specifications, function development, calibration, verification and legal interpretation. We face stricter regulatory requirements from government agencies worldwide. In addition, the car buyers demand higher quality and faster service at workshops. For us it means that the diagnosis system must be robust, i.e. no false alarms and no missed alarm. To fulfil the OBD legal demands and at the same time deliver uselful root cause fault information at workshops is difficult and a real challenge.

We would like to strenghten our advance engineering team working with the next generation of diagnostic fault tracing method with a leader skilled in mathematics and embedded system integration. Main responsibilities are implementation of multivariate density modelling in embedded systems and machine learning framework for fault clustering together with classification in a back-end system. You will be involved in everything from statistical method development and IT-system development to interaction with the aftermarket organisations.

Main responsibilities

* Lead for AE project to develop next generation diagnostic system
* Develop methods for new diagnostic system

Required qualifications

* Master of Science or equivalent documented education
* Strong experience in multivariate statistical modelling and analysis of probabilistic models
* Experience in Implementation in back-end IT systems
* Script-based programming (MatLab, Python or R)
* Statistical analysis methods
* Good ability to plan and deliver solutions
* Good skills in English, written and spoken Project management

Meritorious knowledge

* Experience in analysis of multivariate probabilistic models
* Experience in machine learning methodology for classification
* Six sigma methodology (DFSS)
* Comprehensive overview of data storage and data analysis framework
* Knowledge in the development process within VCC
* Implementation in embedded systems (Simulink, C)

Personal qualities

* Well organized, structured and accurate
* Good ability to plan and deliver solutions
* Driven and positive
* Good interpersonal and communicational skills as well as high social competence
* Having a strategic mind-set
* Excited about future challenges and development
* Ability to synthesize practical problems into mathematical solutions

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 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.

Contact

In this recruitment process we are collaborating with Randstad Sourceright. If you have any questions regarding the position you are welcome to contact the responsible recruitment consultant Karin Ardbo by e-mail karin.ardbo@randstadsourceright.se. Note that applications by e-mail will not be accepted.

Interviews might be held continuously. To apply, please register your profile and attach your application documents via the link below as soon as possible but no later than January 15th, 2017.