The Environment Perception Department of Daimler R&D in Ulm (Germany) has currently an opening for a Ph.D. student in the area of computer vision and pattern recognition.

The open position concerns the development of a sensor-based driver assistance system that can detect dangerous traffic situations with pedestrians, in order to warn the driver or automatically control the vehicle. Research will focus on two sub-themes:
a) how to reliably and accurately detect pedestrians by computer vision, and
b) how to estimate collision risk by the use of motion models,
learned from training data. Experiments will be performed both off-line, on unique large data sets, and on-board a Mercedes-Benz vehicle demonstrator. For more information, see
http://www.gavrila.net/Research/Pedestrian_Detection/pedestrian_detection.html

Qualifications

Prospective applicants should have an outstanding academic record and a solid background computer science or applied sciences. Experience in  computer vision and pattern recognition is a definite plus. The successful applicant will furthermore have strong programming skills (e.g. C++/MATLAB) and a certain affinity towards turning complex techniques into real systems. The ability to speak (or willingness to learn) german is expected.

Availability

Funding for the Ph.D. student position is available immediately, for an initial period of 3 years. 
  
Contact

Prospective applicants please email

- cover letter (explaining suitability)
- resume
- copy of academic record (courses/grades)
- supporting materials (e.g. MS Thesis, reports/publications, GRE/TOEFL scores)

to Prof. Dr. Dariu Gavrila (<first-name>.<last-name>@daimler.com).