Be part of our team
AImotion Bavaria
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.
Your tasks
Conduct and lead cutting-edge research in computer vision for autonomous driving, aiming for high-impact publications in top-tier conferences (e.g., CVPR, ICCV, ECCV) and journals
Drive the group’s strategic growth by actively writing competitive research proposals to secure third-party funding
Provide scientific mentorship and project management guidance to PhD candidates, Master’s, and Bachelor’s students
Manage advanced research infrastructure, including the maintenance and setup of our autonomous sensor vehicles and the computer vision laboratory
Deliver high-quality teaching (4 SWS) in the field of computer vision or intelligent mobility and support the professor in academic administration
Your profile
Outstanding Doctoral degree in Computer Science, Robotics, or a related field, with a deep specialization in computer vision for autonomous driving
Profound technical expertise in Python and PyTorch and hands-on experience with ROS and sensor hardware (LiDAR, Cameras)
Academic excellence demonstrated by a strong publication record and experience in grant writing or acquiring third-party funding
Strong mentorship skills and enthusiasm for guiding early-career researchers and supervising student projects
Fluent English and German (written and spoken) to effectively teach, collaborate with local partners, and communicate within an international research environment
Contact
* ANR 1965
please feel free to contact
Dr. Tanja Engelbert
Please submit your application exclusively via the THI applicant portal
* We look forward to you!
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
Short info
Contract
* 40 h/week
Duration
* ver a period of 36 months
Payment
* TV-L EG 13
Location
Application until
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).
Kontakt
* Bewerbung über Online-Portal
please feel free to contact
Dr. Tanja Engelbert
Please submit your application exclusively via the THI applicant portal
* We look forward to you!
Online application