The Intelligent Vehicles group at the TU Delft (the Netherlands) invites applicants for fully funded PhD Student positions in Computer Vision (CV), and Machine Learning (ML). The openings deal 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 modelling, tracking, and intent recognition. Deep Learning is a promising research avenue but other ML methodologies might apply as well.

We are seeking PhD's 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 software development, and experience in CV and ML. Good programming skills are expected, preferably in C++ and MATLAB/Python. Knowledge of deep-learning frameworks (TensorFlow/Torch/Caffe) and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. All applicant(s) are expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required.

Fixed-term contract: 4 years.

The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit graduateschool.tudelft.nl/ for more information.

For more information about this position, please contact J.F.P. (Julian) Kooij, e-mail: J.F.P.Kooij@tudelft.nl.
To apply, please prepare a letter of motivation explaining why you are the right candidate, a detailed CV, a complete record of Bachelor and Master courses (including grades), your Master’s 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.
Applications should be submitted by email at the earliest convenience to Application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3ME17-39 in the subject of the email.

Delft University of Technology

Delft University of Technology (the TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.