The Intelligent Vehicles section at the TU Delft, the Netherlands, invites applications for a fully a funded Post-Doctoral research position in the areas of Computer Vision (CV), Sensor Fusion (SF) and Machine Learning (ML). The opening deals with pedestrian/cyclist safety for highly automated vehicles and are part of larger collaborative efforts at Dutch and EU level.
The intended research addresses problems within the spectrum of object detection, pose estimation, motion modeling, tracking, and intent recognition from multi-sensor data (video, radar, lidar). Deep Learning is a promising research avenue but other ML methodologies might apply as well.
We are seeking Post-Doc applicants with an interest in performing cutting edge research in an active and exciting research area (cf. self-driving cars by Google, Apple and the automotive industry). Prospective applicants should have a strong academic record with solid background in computer science or engineering and have extensive experience in CV, SF or ML. Good programming skills are expected, preferably in C++ and MATLAB/Python. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. The succesful candidate is expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required.
The Post-Doctoral research appointment are full time (38 hours a week) and will be for an initial period of two years and possibly renewable for a third year. Salaries are in accordance with the university regulations for academic personnel. The Post-Doc salary will range from €3044 to €3756 based on experience. The salary figures is before tax per month based on a full-time appointment. Secondary benefits amount to an additional 16.3% of yearly salary.
Living conditions in the Netherlands (e.g. Delft, Hague, Amsterdam) are considered to be among the very best in Europe. The TU Delft scores consistently high in international comparisons (e.g. within top 20 in QS World Univ. Rankings 2015/2016 in Engineering and Technology).
Applications should be directed to Prof. D.M. Gavrila and submitted at the earliest convenience. They must include a motivation letter explaining why you are the right candidate, a CV, a complete record of Bachelor and Master courses (including grades), and a link to your Ph.D. Thesis, a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), your publications and the names and contact addresses of two references. All these items should be combined in one PDF document and uploaded as “resume” below.
|Salary (first year)||€3044|
|Salary (last year)||€3756|
|Application deadline||As soon as possible|