Vacancies

The Intelligent Vehicles group at TU Delft is seeking a PhD candidate with an interest in performing cutting edge research in the area of self-driving vehicles. This PhD position is part of the project “Safe interaction of automated vehicles with vulnerable road users” (SafeVRU). The project will develop sensing, intent recognition, and vehicle control strategies […]

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See Vacany TUD00077 on TU Delft website. Job description The Intelligent Vehicles group and the Delft Center for Systems and Control (DCSC) at the TU Delft is seeking a PhD candidate with an interest in performing fundamental research on Tensor Decomposition and Deep Learning in the exciting research area of self-driving vehicles. Mobile robotics and […]

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See Vacany TUD00272 on TU Delft website. Challenge: Learning to detect and segment 3D structures in urban environments without labelling large amounts of sensor data. Change: Self-supervised learning on 3D and image sensor data from complementary data sources, such as ground-level vehicle sensors plus aerial imagery and lidar data. Impact: Drastically reduce human annotation effort […]

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See Vacany TUD00271 on TU Delft website. Challenge: Make intelligent vehicles anticipate unseen nearby traffic in urban environments where visibility is limited due to occlusions. Change: Needs data-driven technique to learn from the 3D surroundings, 1) where potentially hazardous situations occur, and 2) how traffic sounds reflect for localization with a vehicle-mounted microphone array. Impact: […]

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Job description The Cognitive Robotics Department at TU Delft seeks to fill a faculty position in the area of data fusion for intelligent vehicles at the level of Assistant (tenure-track) or Associate Professor (tenured). The position covers multi-modal sensor processing (e.g. vision, radar, lidar, IMU, GNSS) for on-board environment perception and localization/mapping, in complex and […]

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The Intelligent Vehicles section at the TU Delft, the Netherlands, invites applications for a fully funded Post-Doctoral research position in the area of Deep-Learning Based Radar Processing in Intelligent Vehicles. The intended research addresses problems within the spectrum of object detection, semantic scene analysis and vehicle localization.  Apart from radar-based processing, data fusion with video is […]

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