The Intelligent Vehicles section at the TU Delft, The Netherlands, invites applications for a fully a funded Ph.D. Student position in Computer Vision (CV) 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 visual data. Deep Learning is a promising research avenue but other ML methodologies might apply as well.
We are seeking Ph.D.-Student 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 experience in CV or ML. Good programming skills are expected, preferably in C++ and MATLAB/Python. Knowledge of deep learning frameworks (Caffe, Torch, TensorFlow and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. The successful 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 Ph.D.-Student appointment is full time (38 hours a week) and will be for a period of four years (the initial employment is 18 months and after a positive evaluation, the appointment will be extended further with 30 months) and should lead to a dissertation. Salary is in accordance with the university regulations for academic personnel. The PhD-Student salary will range from €2174 (first year) up to a maximum of €2779 (last year). The 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 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), your Master’s Thesis (plus your Ph.D. Thesis when applying at the PostDoc level), 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)||€2174|
|Salary (last year)||€2779|
|Application deadline||As soon as possible|