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Location

Ingolstadt | Germany

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Job description

Be part of our team Doctoral Candidate (m/f/d) Computer Vision for Autonomous Vehicle Perception AImotion Bavaria Autonomous driving? Unmanned flying? Digital production? The AI mobility hub AImotion Bavaria in Ingolstadt is dedicated to these key research areas. Become part of the team and change the future of AI-based mobility with us! You can find further information at: Your tasks You develop deep learning models for the perception of autonomous vehicles in highway construction sites You deal with state-of-the-art AI research in the field of computer vision You generate artificial datasets with simulation tools such as Carla Project management, exchange and coordination with partners within the EU Writing scientific publications and participating in national and international conferences Collaboration in the preparation of funding applications Supervision of theses and support of the professorship's research and teaching activities Your profile You have completed your master's degree in artificial intelligence, computer science or a related field with outstanding results You already have demonstrable practical experience in the application of machine learning and computer vision, ideally with deep learning You have sound programming skills, preferably in Python and you know the common frameworks and can also work with them (PyTorch, Tensorflow, OpenCV) You have experience in working with autonomous driving simulators like Carla You speak and write English at a very high level To fit seamlessly into a team of young highly motivated scientists you need strong communication and teamwork skills, a high level of personal responsibility and good organizational skills Contact

ANR 1369

please feel free to contact Milena Porsch [email protected] +49 841 9348-5062 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 36 months Payment according to TV-L EG 13 Location Ingolstadt Application until 13.03.2024 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 Milena Porsch [email protected] +49 841 9348-5062 We look forward to you! Online-Bewerbung You develop deep learning models for the perception of autonomous vehicles in highway construction sites You deal with state-of-the-art AI research in the field of computer vision You generate artificial datasets with simulation tools such as Carla Project management, exchange and coordination with partners within the EU Writing scientific publications and participating in national and international conferences Collaboration in the preparation of funding applications Supervision of theses and support of the professorship's research and teaching activities You have completed your master's degree in artificial intelligence, computer science or a related field with outstanding results You already have demonstrable practical experience in the application of machine learning and computer vision, ideally with deep learning You have sound programming skills, preferably in Python and you know the common frameworks and can also work with them (PyTorch, Tensorflow, OpenCV) You have experience in working with autonomous driving simulators like Carla You speak and write English at a very high level To fit seamlessly into a team of young highly motivated scientists you need strong communication and teamwork skills, a high level of personal responsibility and good organizational skills

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