Be part of our team Research Assistant (m/f/d) Automotive Software Architectures in the institute AImotion Autonomous driving? Unmanned aerial flight? Digital manufacturing? The AI mobility node Ingolstadt at the AImotion Bavaria Institute is dedicated to these research topics. Change the future of AI-based mobility with us. https://www.thi.de/forschung/aimotion/ Your tasks Develop and code smarter software architectures for automated driving systems, from sensors to decision-making. Create state of the art algorithms to tackle real-life driving challenges. Work on the coolest simulation platforms like CARLA or IPG Carmaker and bring your ideas to life through frameworks like ROS and Autoware.auto. Dive into AI development with machine learning, deep learning, and data science to push the boundaries of what’s possible. Own all aspects of scientific work including writing research papers, acquiring and managing public funded projects, collaborating with top researchers internationally and running academic courses. Your profile You have a master's degree in computer science, information technology or engineering and a passion to make things work. You’re fluent in Python and C++ (bonus if you can rock some JavaScript). Familiar with simulation tools like CARLA, ROS, or Autoware.auto—or eager to dive in. Experienced in AI frameworks and data science—or eager to roll up your sleeves and get started. Optional: You’ve dabbled in automotive research, empirical research (user studies) and are curious to explore more. What we offer excellent labratory equipment innovative working environment collaboration with industry partners comprehensive support & guidance future oriented learning opportunities doctorate in engineering and information science homeoffice & mobile working flexible working hours canteen & restaurant Good connections & central location Good to know In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG). The ideal candidate will have a strong foundation in software architecture and artificial intelligence and an innate drive to make things work to solve users' problems. We look forward to you Contact ANR 1724 please feel free to contact Milena Porsch karrierethi.de 49 841 9348-5062