PhD Researcher in Probabilistic Deep Learning for Autonomous Inspection

19 hours ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark DTU - Technical University of Denmark Full time

At DTU, we are seeking a highly skilled PhD researcher to join our team working on autonomous aerial inspection. In this role, you will design and develop novel deep learning techniques for semantic segmentation and probabilistic defect detection onboard aerial drones operating in confined environments.

Your responsibilities include conducting state-of-the-art research, investigating and implementing uncertainty-aware models, creating and curating probabilistic annotated datasets, and collaborating with a multidisciplinary team to integrate your algorithms into a practical aerial inspection platform.

We offer a rewarding and challenging job in an international environment with opportunities for academic excellence, collegial respect, and scientific advice.



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