Adress "Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers' uptime and productivity.
Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."
Are you a person who wants to be part of changing the future by creating transport solutions towards a more sustainable environment? This is a great opportunity to do that for a PhD on Digital Twin for Energy Prediction. This exciting research project will be carried out through close collaboration with the Chalmers University of Technology.
What so we do?
We belong to the department of Electromobility, within Volvo Group Trucks Technology where the future is already in progress and cutting-edge technical solutions, products, and services come to life. We design and develop complete electric propulsion systems and components for many strategical products in Volvo Group. Our team is agile, truly customer oriented, working closely together to drive the development of new technologies.
Besides the vehicle itself, Volvo provides productivity services to its customers to improve the usage of their fleets. At our section, we are accountable for the Energy Prediction algorithms, from advanced engineering and research to product development. These algorithms are at the core of many current and future digital services.
Main Role and Responsibilities
Energy consumption prediction is an essential enabler for fleet management services of electric trucks. Route and charge planning are examples of those. However, it is a complex problem that depends on several aspects, such as speed, topography, weather conditions, driver behavior, etc. Due to uncertainty on these parameters, there is room for increasing the accuracy of the predictions by using machine learning techniques together with a virtual representation of the vehicle. The main challenges that this PhD project will address are formulating the Digital Twin model and designing the machine learning methods to estimate energy consumption of electric trucks. Your major responsibility is to pursue research in line with the project, publish and present scientific articles, support the Volvo Group patent strategy, and take part in discussions for knowledge sharing.
Who are you?
You need to have strong collaboration, networking, and complexity management skills. You also need to be open-minded, self-motivated, and meticulous with independent critical thinking in your problem-solving approach. We also believe you are a person who feels enthusiastic about machine learning methods with a solid theoretical foundation to design physics-aware models. You are a person who gets thrilled to explore the unknown and drive new ideas forward under uncertainty. In addition, we believe you have the following:
• Strong master level educational background in electrical engineering, computer science or similar, with special interest in core courses related to machine learning and control theory.
• Fluent in both written and spoken English.
• Proficiency in MATLAB and Python.
Any experience with vehicle dynamics, electromobility systems, energy management and edge technology will be meritorious.
Do you find it exciting, think this is a perfect match to your future ambitions? Please, send your application including the following mandatory documents:
1. Full CV including your academic background, professional experiences, main technical competences/skills, and two references with contact information.
2. Cover Letter (1-2 pages) including your short background, research interests, motivation for this Industrial PhD position, and future professional goals, please include the abstract of your bachelor and/or master thesis with web links to full text in your cover letter.
If you proceed within the recruitment process, we will ask for your certified grade and course transcript.
Last application date is 12 of April.
If you have any questions regarding this research project and the position, please do not hesitate to contact me.
Luiz Thereza - Group Manager Productivity Services
luiz.thereza@volvo.com
We value your data privacy and therefore do not accept applications via mail.
Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you'll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.
