PhD-Thesis Deep Learning Object Tracking for Autonomous Driving in Renningen

... You develop novel deep learning algorithms for perception, e.g. object detection & tracking (vehicles, pedestrians etc.). You optimize your approaches with w.r.t accuracy and efficiency and you bring your approaches into real...

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Jobbeschreibung

Aufgaben

• You develop novel deep learning algorithms for perception, e.g. object detection & tracking (vehicles, pedestrians etc.).
• You optimize your approaches with w.r.t accuracy and efficiency and you bring your approaches into real vehicles. You also contribute to the scientific environment with publications on top conferences and journals (NIPS, ICML, CVPR, TPAMI etc.)
• Be part of the team that shapes the future perception for autonomous driving.
• You work in an agile and diverse research team with other PhD students and with exchange across several international projects. In addition, you work together with TOP international universities.
• Furthermore, you evaluate your algorithms on public benchmark data sets and internal real-world data sets - offline and online.

Profil

Education:

Excellent degree (Master/Diploma) in computer science, robotics, electrical engineering, mathematics or physics

Personality:

Open-minded team player

Working Practice:

Goal-oriented and logical thinking

Experience and Knowledge:

Profound knowledge of deep learning algorithms & principles as well as object detection & tracking (Kalman filter, particle filter, random finite sets etc.). Proven programming skills in C++ and Python. Moreover, expertise in perception and experience with video, radar or video sensor data is a strong plus. Experiences in ROS and in automated driving systems and/or robotics are optional.

Languages:

Fluent in English (written and spoken), German is a plus

Extra Informationen

Status
Inaktiv
Standort
Renningen
Tätigkeitsbereich
Technik / Elektronik
Führerschein erforderlich?
Nein
Auto erforderlich?
Nein
Motivationsschreiben erforderlich?
Nein
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