Thesis Worker - Python-Based Machine Learning Models In Thermal Management

Thesis Worker at Volvo Cars
Welcome to explore the world of Volvo Cars by writing your thesis with us! As a thesis worker in our organization you are supported by a supervisor who follows you during your project. All thesis projects are arranged in business critical areas and therefore you will be able to contribute to our company purpose – providing freedom to move in a safe, sustainable and personal way – from day one! 

What is in it for you?
This master thesis work will be carried out within the CAE Team of Thermal Management, which is a part of the Department Vehicle Propulsion, and has the responsibility for cooling electrical motors, high voltage battery, etc. The CAE team leverages advanced simulation tools to optimize thermal management systems, ensuring efficient heat transfer and fluid dynamics. They collaborate with various departments to enhance system performance and reliability, contributing to the overall development and innovation within the organization.

Scope of the Master Thesis
Thermal Management systems are increasingly complex, featuring circuits that can be connected or disconnected in various configurations based on the working mode (cooling, heating, heat-pumping from different sources) and operating temperatures. The availability of system models prior to the first prototypes enables control and calibration teams to commence their work earlier, requiring the prototype vehicle only in later stages for fine-tuning.

This Master Thesis aims to conduct simulations, utilize existing data extracted from these simulations, and develop a Machine Learning model in Python to predict system responses, subsequently comparing these predictions with the base model.

What you'll bring
You have a solid theoretical background that gives you the confidence to be creative. You have a structured way of approaching issues and are self-driven, always striving for success. You also go the extra mile to achieve what you intend to. The project is aimed for two students.
 

Qualifications
•    Master students within Computer science – algorithms, languages and logic, Applied Mechanics, Mobility/Automotive Engineering, System Controls and Mechatronics or similar education
•    Experience and skills in Python and ML packages is meritorious.
•    Experience with GT-Suite and Simulink is a plus.
•    Fluent in English, written and spoken.
 

Duration:
•    Proposed thesis work period: 15th January 2025 to 15th June 2025 (Dates can be flexible with +- 7 days).
•    Academic Credits: Equivalent to 30 ECTS
•    Number of Students: Preferably 2 students
 

Be part of the change – apply today! 
Attach your resume and cover letter stating your interests within the given area and your thoughts and credentials. Please note that applications arriving later than the last application date will not be taken into consideration. Selection will be ongoing during the application period, so do not hesitate to send in your application. Reviewing the applications starts right after the submission.

For questions about the position, please contact
supervisor Babak Heydarnezhad, mail at babak.heydarnezhad.2@volvocars.com or
the manager Roger Alexandersson, mail at roger.alexandersson@volvocars.com

We want your application at the latest November 20th, 2024. Please note that applications by email will not be accepted.
 

Volvo Cars - Driving change together 

Volvo Cars’ success is the result of a collaborative, diverse, and inclusive working environment. Today, we are one of the most well-known and respected car brands, with around 43,000 employees across the globe. At Volvo Cars, your career is designed around your skills and aspirations, allowing you to reach your fullest potential.