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A leading automotive company in Gothenburg offers a thesis position focused on Reduced-Order Modeling and Transient Load Estimation in Nonlinear Driveline Systems. Ideal for master's students in relevant fields, this role involves system identification and model-order reduction. Candidates should be analytical, practical, and interested in numerical simulations. The thesis work begins in January 2026 and spans 20 weeks.
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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. Through your thesis work, you will be able to contribute to our company purpose – providing freedom to move in a safe, sustainable, and personal way – from day one!
The main purpose of an automotive propulsion system is to deliver the required driving power to the wheels without experiencing critical failures. Additionally, to be competitive in the global market, the driveline must ensure high overall efficiency and drivability while minimizing noise and vibration. Designing a complex mechanical system requires detailed knowledge of its structural components and their interface connections, how they move and vibrate together during operation, and how they interact with distributed sensors and actuators.
Virtual simulation is a core tool in the development and analysis of complete automotive drivelines and their individual subsystems. Various physical aspects of the driveline are often simulated separately, using different system and subsystem model approximations that lack a clear relationship to one another or to a common, more general framework. As a result, when different models overlap or leave gaps in their prediction ranges, unwanted ambiguities are introduced into the overall analysis. This calls for improved analysis tools that enable accurate extraction of specific low-order models from a more general system representation, and their integration with physically measured response data.
Current efforts in mechanical design analysis aim to develop accurate low-order, low-frequency system dynamic models for estimation of distributed and propagated dimensioning loads that occur in Battery Electric Vehicle (BEV) drivelines. These models can be derived using advanced system identification techniques that combine measurement data with simulated sequential “snapshot” representations, extracted from existing high-fidelity dynamic models built on well-established physical principles.
This thesis project will explore the application of system identification and model-order reduction methods to an existing nonlinear multi-body dynamic model. The specific case study involves a rotating system, such as an electric machine connected to a speed-reducing transmission with a differential gear and multi-link driveshafts. The goal is to extract low-order system model representations that maintain a known and traceable relationship to the parent model, and to use these representations for inverse estimation of transient drive torque corresponding to a previously measured rotational speed signal.
We are seeking highly motivated students enrolled in a master’s program in Applied Mechanics, Systems Control, Mechatronics, or a related field. The ideal candidate is both analytical and practical, with an interest in numerical simulation and mathematical analysis of nonlinear dynamical systems. Experience, whether theoretical or practical, in multi-body dynamics, and structural dynamics is a bonus. You are expected to be working on-site.
Applications should include your CV and a brief personal letter stating your interests within the given area and your thoughts and credentials. Submit your CV in English.
Applications must be received no later than 31st of October 2025. We are prioritizing direct applications to ensure a fair and efficient application process.
For questions regarding the recruitment process, please contact Recruiter Radoslaw Piela at radoslaw.piela@volvocars.com.
For specific questions about the position, please reach out to Hiring Manager Henrik Nyberg at HENRIK.NYBERG@VOLVOCARS.COM, or Supervisor, Per Sjövall at per.sjovall@volvocars.com, Supervisor, Niclas Andersson at niclas.s.andersson@volvocars.com, Supervisor, Ingemar Andersson at ingemar.andersson.2@volvocars.com.
Volvo Cars is an Equal Opportunity Employer and welcomes applications from diverse candidates.