OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
CEVT is an innovation centre for the future cars of the Geely Group with the purpose of being at the forefront of new developments in the automotive industry. Since 2013 CEVT has grown rapidly and now keeps some 2000 people busy. China Euro Vehicle Technology AB is a subsidiary of Zhejiang Geely Holding Group.
The Vehicle Integration unit at CEVT is responsible for the development of customer unique selling points in terms of fulfilling attribute requirements in a customer profile. Typically, different disciplines like Energy Efficiency, Energy consumption, Chassis, Ride and handling are continuously evaluated via virtual development tools. These tools are applied in development projects in a gate structure and are the core of CEVT knowhow for fast development.
With the current electrification level of vehicles - Big data driven prediction of battery health is becoming increasingly important in the development of new vehicles and platforms.
Major changes to vehicle usage in the future through electrification is one example, but also when vehicles are running in Autonomous Driving mode. When the vehicles will run partly or completely in Autonomous Driving mode this will also put new demands of understanding the health of the battery.
As an industrial PhD, you will be employed by the CEVT Vehicle Integration team and take part in the PhD program at the Department of Electrical Engineering, Chalmers University of Technology, as a full-time PhD student in the division Systems and Control. You will report to the Erik Preihs and Sven Sjöberg, CEVT AB, and receive your academic supervision from Torsten Wik and Changfu Zou.
The focus in this project is on improving the understanding of how future demands will change the requirements and perception of battery life and charging control strategy’s - techniques that need to be developed due to new driving habits and behaviors. The objective is to deepen the knowledge about the opportunities of big data models to influence the early design phase as well as making a technology available to create control strategy’s to further explore opportunities.
Responsibilities and tasks
* Fulfill the academic requirements for a licentiate degree as a first step (after about 2-3 years) and as a second step a dissertation for a doctoral degree (PhD) (after 4-5 years).
* Present your research at conferences and write scientific journal articles.
* At regular intervals deliver status reports to CEVT and present results for relevant reference groups.
* Take part in all activities that normally are included in a Ph.D. position.
Profile and Background
* Master’s Degree in Engineering, Product Development, Computer Science or equivalent, and preferably with knowledge in battery modelling and automatic control.
* Interest in vehicles and control systems for electrification.
* General understanding of the challenges of autonomous vehicle development.
* Ability to develop and apply solutions to complex problems.
* Ability to independently initiate and drive tasks in a dynamic work environment.
* Interest and awareness of cultural differences and diversity.
* Fluent in English, both verbally and written.
* Driver’s license.
Meritorious qualifications
* Experience of working in simulation tools for dynamic systems.
* Experience of experimental measurement equipment’s.
* Experience of user studies and usability tests.
* Knowledge of qualitative and quantitative methods.
* Experience of planning research studies.
As a Ph.D. student
You should be open-minded and interested in pursuing results. You need to be able to work in international, multi-disciplinary teams as well as on your own. Both research and teaching are typically collaborative efforts, but it is also important that you are able to manage your own working situation and work independently. Communication skills are important when conducting research since active participation in seminars and conferences are crucial parts of the work. You need to be fluent in English due to the character of the research and teaching.
What we offer
The research aims to develop knowledge on the relation between usability behaviors and prediction of battery health, aiming for health improving battery control.
CEVT offers an exciting and challenging research project in a fast growing and developing company. We are a diverse and dynamic team, appreciating the competence and experience all our employees bring to table. We offer you an innovative atmosphere and culture of team spirit where sharing knowledge and finding new ways to tackle our challenges together is key.
Application
For the application, we require your CV, a cover letter stating your background and why you are applying for this industrial Ph.D. position, your interest in research, a copy of the university diploma and a list of your university courses at bachelor and master levels, and other material of interest.
Last Application date: 2020-05-18.
Contact: Erik Preihs, Module Team Director, Advanced Engineering, RLM, +46 (0)721 84 35 70.
Sven Sjöberg, Senior Manager, Battery and High Voltage Systems, +46(0)731441654.
Torsten Wik, Department of Electrical Engineering, Chalmers University of Technology, +46(0)708-609578.
Erik Limberg, HRBP, +46 (0)729 88 89 22.