Admin Login
Job detail header image


With 11,000 employees worldwide, AVL is the world's largest independent company for the development, simulation and testing of powertrain systems (hybrid, combustion engine, transmission, electric drive, batteries, fuel cell and control technology) for passenger cars, commercial vehicles, construction, large engines and their integration into the vehicle.

A combination of multiple autonomous agents trained in a common environment with Multi-agent reinforcement learning (MARL) shall be applied to improve the control strategy of an air path control system for diesel engines. The following tasks shall be performed during this thesis:


  • Literature review
  • Environment Setup for MARL (supported by AVL)
  • Applying MARL algorithms to create the model
  • Model evaluation with different algorithms
  • Integration of the machine learning model with the other SW modules
  • Validation with test cases provided by AVL


  • Telematics / Informatics
  • Electrical / Electronic Engineering


  • Strong programming skills in Python
  • Being familiar with Python libraries and ML frameworks, such as Numpy, Pandas, Tensorflow, Keras, ...
  • Control theory basics

Remuneration: The successful completion of the thesis is remunerated with a one-time fee of EUR 2,600 before tax.
According to the Austrian Employment of Foreign Nationals Act it is unfortunately not possible to assign graduate work to third- country citizens (Non-EU citizens) who study at a university abroad.