Postdoc Fellow in Large Scale Senor Fusion / Intelligent Infrastructure Systems

Technical University of Munich is pleased to invite applicants to apply for a new opening postdoctoral position in artificial intelligence. Applications should be submitted as soon as possible.

In this position you will be part of group of researches working the fusion of sensor data from both, stationary sensors (e. g. Radars, Cameras) as well as information provided by vehicles (e. g. LiDARs) to create digital twin of the current traffic situation. This data will be communicated via LTE and 5G to provide cars and/or drivers with a far-reaching view of the road ahead in any situation, at day and night, and under all other environmental conditions. Thus, we yield an essential contribution for automated vehicle control applications, improved traffic flow and safety.

The Technical University of Munich (TUM) is one of the largest and in terms of third party funding one of the most successful universities in Germany. It is consistently ranked among the best universities in the world and is appointed as one of only three top-level elite universities by the German National Science Foundation since 2006. TUM as an entrepreneurial university actively supports knowledge transfer with over 300 start-ups created over the last years, numerous partnerships with industry and a comprehensive set of services aimed at successful commercialization of research. The Chair of Robotics, Artificial Intelligence and Real-time Systems led by Prof. Alois Knoll performs research in fields of human robot interaction and service robotics, medical robotics, cognitive robotics and cyber-physical systems. Across all these areas, there is a strong focus on the development and application of AI-based methods ranging from traditional machine learning to brain-inspired methods and neuromorphic computing.

We are looking forward to receiving your application. The earliest starting date is March 1st, 2020.

TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university's research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.


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