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Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving

Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving

Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving

Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving

Technische Hochschule Ingolstadt Land Bayern

Erziehung, Bildung, Wissenschaft

Ingolstadt

  • Art der Anstellung: Vollzeit
  • 52.000 € – 70.000 € (von XING geschätzt)
  • Hybrid
  • Zu den Ersten gehören

Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving

Über diesen Job

Be part of our team

Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving

in the institute AImotion Bavaria

Autonomous driving? Unmanned flying? Digital production? The AI mobility hub Ingolstadt AImotion Bavaria is dedicated to this research focal points. Become part of the team and change the future of AI-based mobility with us! For more information, please visit https://www.thi.de/forschung/aimotion/ (https://www.thi.de/forschung/aimotion/)

Your tasks

  • Develop innovative methods for uncertainty quantification in autonomous vehicle perception (e.g., object detection, semantic segmentation, scene understanding)
  • Conduct AI research in computer vision and deep learning, focusing on visual language models and model calibration
  • Integrate and evaluate uncertainty metrics in automated driving systems
  • Work with synthetic and real-world datasets, including challenging scenarios like adversarial inputs and edge cases
  • Publish research findings, participate in international conferences and contribute to patent applications where applicable
  • Collaborate in preparing funding applications, supervise theses, and support the professorship's research and teaching endeavors

Your profile

  • Excellent master’s degree in artificial intelligence, robotics, data science or a related field
  • Experience in developing and applying uncertainty-aware machine learning methods, particularly in the context of computer vision and autonomous systems
  • Familiarity with techniques for uncertainty quantification, neural network monitoring, and robustness evaluation
  • Excellent programming skills in Python
  • Strong communication skills and the ability to work collaboratively in interdisciplinary teams

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: until 31.12.2030
  • Payment: TV-L EG 13
  • Location: Ingolstadt
  • Application until: 22.10.2025
  • 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 job advertisement is subject to the final approval of funds.

Contact

ANR 1879

please feel free to contact Milena Porsch

  • 49 841 9348-5062

karriere@thi.de (https://mailto:karriere@thi.de)

We look forward to you!

Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.

Gehalts-Prognose

Unternehmens-Details

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Technische Hochschule Ingolstadt Land Bayern

Erziehung, Bildung, Wissenschaft

Ingolstadt, Deutschland

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