Researcher and developer for applied mathematics and statistics

Researcher and developer for applied mathematics and statistics - 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 Diagnostics & Dependability consists of roughly 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. The section is challenged by stricter regulatory requirements from government agencies worldwide. In addition, the car buyers demand higher quality. For us it means that the diagnosis system must be robust, with no false alarms and no missed alarms. To fulfil the OBD legal demands is difficult and to do it in combination with high robustness and high availability is a real challenge.

As a Researcher and Developer your main responsibilities will be to research and develop methods for multivariate data modelling and analysis of probabilistic models on data streams in embedded systems. The goal is to define and industrialize suitable methods for development of diagnostic systems for powertrain applications into a data processing framework for large-scale analysis of time series data.
Main responsibilities

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

Required qualifications

* PhD or equivalent experience in statistical methods and mathematics
* Strong experience in multivariate statistical modelling and analysis of probabilistic models
* Experience in machine learning methodology for classification
* Script-based programming (MatLab, Python or R)
* Statistical analysis methods - primarily for time series data
* Good skills in English, written and spoken

Meritorious knowledge

* Six sigma methodology (DFSS)
* Comprehensive overview of data storage and data analysis frameworks
* Knowledge of modelling of dynamic systems / system identification theory, including state-space estimation
* Knowledge in the development process within VCC
* Knowledge in embedded control systems
* Implementation in embedded systems (Simulink, C)
* Strong research background in terms of publications and academic connections
* Experience in Supervising PhD or M.Sc. students

Personal qualities

* Well organized, structured and accurate
* Good ability to plan and deliver solutions
* Ability to synthesize practical problems into mathematical 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

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 Nadja Bergman at +46 729889828 or by e-mail nadja.bergman@randstadsourceright.se. Note that applications by e-mail will not be accepted.
Interviews will 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 October 16th, , 2016.