The main objective of this PhD project is to push the boundaries on the automated analysis of humans and their behavior in airborne images and image sequences with novel computer vision methods.
The German Aerospace Center (DLR) is the national aeronautics and space research centre of the Federal Republic of Germany. Its extensive research and development work in aeronautics, space, energy, transport, digitalisation and security is integrated into national and international cooperative ventures.
Eligible Countries: This fellowship is available to Non-German applicants.
Entrance Requirements: Applicants must meet the following criteria:
Candidates should have a Master’s or Engineering Degree in Computer Science, Visual Computing or a related discipline. A strong mathematical background and solid programming skills, preferably in Python or C/C++, are required. Previous experience in computer vision, computer graphics, or image processing is highly desirable. The successful candidate must be highly motivated and must have demonstrated the ability to perform independent work. They must also posess excellent communication skills.
Experience with deep learning frameworks, such as TensorFlow, Keras, PyTorch, Theano, Caffe, etc. is of advantage.
At the time of their application, applicants for a DLR-DAAD Fellowship must
English Language Requirements: Applicants must have an excellent knowledge of English, please provide evidence of this through the submission of appropriate language certificates (e.g. TOEFL: 550/217); a knowledge of German is advantageous.
The application procedure occurs online through the DAAD online portal. You are also requested to send the “Application summary” (pdf file), which is generated in the DAAD portal after the online application procedure has been completed, by email to dlr-daad-program-at-daad.de. Furthermore, your referees should send the hard copies of the letters of recommendation to the application address by post.
How to apply this scholarship?: