[Discourse.ros.org] [Jobs] PhD position in Computer Vision and Machine Learning for Intelligent Vehicles

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[Discourse.ros.org] [Jobs] PhD position in Computer Vision and Machine Learning for Intelligent Vehicles

Dirk Thomas via ros-users


The Intelligent Vehicles group at the TU Delft, The Netherlands, is seeking candidates for a PhD position 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/CUDA is a plus. An affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired, we use ROS for our main demonstration platform. 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.

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 Masters 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 [hidden email]. When applying for this position, please refer to vacancy number 3ME17-39 in the subject of the email.

Faculty/department Mechanical, Maritime and Materials Engineering, TU Delft, The Netherlands
Level Master degree
Maximum employment Maximum of 38 hours per week (1 FTE)
Duration of contract 4 years
Salary scale 2222 to 2840 per month gross
https://www.academictransfer.com/employer/TUD/vacancy/39103/lang/en/

For more information about this position, please contact J.F.P. (Julian) Kooij, e-mail: [hidden email].





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