Thesis Project: 30 hp - Enhance simulation model performance using AI/ML methods

Introduction
Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. With the current boom in AI, work has started to investigate how it can be used to improve the efficiency and accuracy of simulation models used for verification and validation.

Background
With the swift change in powertrain regulations, powertrain control software and fault monitors are evolving to be more complex. In order to test such complex functionalities on a simulated environment, a realistic plant model is necessary. It can replicate real life scenarios accurately and help create scenarios difficult to test on a vehicle. Further, it can increase the scope of powertrain software controls and fault monitor testing on a simulated system.

Objective

• Validating existing simulation models with real life data
• Detailed analysis and literature review in order to highlight pros and cons of  AI/ML methods
• Propose and implement optimization strategies to update and calibrate the model to reduce the gap between model behaviour and real life behaviour
• Validating the models developed with proposed strategies in simulation environments
• Present measures of accuracy and validity of the calibrated model

Job description
One or more of the suggested objectives should be included in the goal of the thesis. The formulation of the goals could be refined during the thesis work.

Take the opportunity to work in a global organization with the development of Scania's and Tratons trucks and buses. We are a close-knit group that adds customer value by ensuring the quality of the conventional and electrified powertrains. Our group is characterized by a creative and helpful environment where everyone's voice is heard.  

We solve our challenges cross-functionally in agile teams with common goals, where both the individual and the team have major impact on the final product. Personal development is key and we put great emphasis on allowing you to grow and develop in the role. 

Education/program/focus

Master of science in Mechanical engineering, Mechatronics, Data Science, Automotive or similar.

Basic programming/Simulink knowledge is needed, knowledge of AI/ML is meriting

Number of students:1-2

Start date for the thesis work: January 6 (could be adjusted) 2025

To be conducted during the spring of 2025.

Contact persons and supervisors
Andreas Szilassy (manager), andreas.szilassy@scania.com, +46 736688223
Sandeep Vikram Kumar (supervisor), sandeep.vikram.kumar@scania.com, +46 764219659

Application:
Your application must include a CV, personal letter and transcript of grades

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.