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Master Thesis - Advanced controlling algorithm for low speed situations in cars (f/m/d)

Temiskaming Shores & Area Chamber of

Ingolstadt

Remote

EUR 40.000 - 60.000

Vollzeit

Vor 14 Tagen

Zusammenfassung

An automotive software company based in Ingolstadt offers a Master Thesis opportunity in developing advanced controlling algorithms for low-speed driving scenarios. Ideal candidates are enrolled students in engineering fields with knowledge of control algorithms, MATLAB Simulink, and basic C programming. Enjoy remote working options within Germany for this 6-month, 35-hour week project.

Qualifikationen

  • Must be an enrolled student in a relevant field.
  • Broad knowledge of control algorithms is required.
  • Familiarity with model-based development is needed.

Aufgaben

  • Conduct literature research on low-speed control algorithms.
  • Develop an advanced controlling algorithm in MATLAB Simulink.
  • Test controller in low-speed situations in SIL environment.
  • Verify controller design in a test vehicle.
  • Present results in a scientific paper.

Kenntnisse

Control algorithms knowledge
MATLAB Simulink
Vehicle dynamics knowledge
C programming language
Model-based software development

Ausbildung

Enrolled in Mechatronics, Mechanical or Electrical Engineering

Jobbeschreibung

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche - supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM
Our Team "Driver Demand" (Vehicle Motion) is excited to offer a Master Thesis opportunity focused on the development of an advanced controlling algorithm for various low speed driving situations in our newest Software Defined Vehicle (SDV). Our current solution has achieved the highest standards on the car market regarding drivability, sportiness and comfort in various driving situations. The goal of this project is to improve it even further by using advanced controlling algorithms. You will have the chance to gain hands-on experience in model-based development and production C code as well software and vehicle testing.
Research question: How can an advanced controlling algorithm improve vehicle drivability, sportiness and comfort in various low speed driving situations?

WHAT YOU WILL DO

  • Conduct extensive literature research on controlling algorithms used for low speed applications in passenger vehicles
  • Model-based development of an advanced controlling algorithm in MATLAB Simulink
  • Testing of the controller in various low speed situations in a Software-In-The-Loop (SIL) environment
  • Verification of the controller design in a test vehicle on proofing grounds
  • Comparison of the newly developed controller with the current solution
  • Present the results and framework in a scientific paper


WHO YOU ARE

  • Enrolled student in the field of Mechatronics, Mechanical Engineering, Electrical Engineering, or a comparable degree program
  • Broad knowledge of control algorithms and control theory (e.g., through specialization with advanced lectures, courses, projects, etc.)
  • Knowledge of vehicle dynamics
  • Familiarity with model-based development (MATLAB Simulink)
  • Basic knowledge of the C programming language
  • Experience in model-based software development is an advantage
  • Team-oriented, growth-driven, goal-oriented, and communicative


NICE TO KNOW

  • Remote work options within Germany
  • Duration: 6 months
  • 35-hour week


At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

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