The Robot Learning Lab (https://rl.cs.uni-freiburg.de) at the University of Freiburg, Germany, is currently offering multiple full-time PhD positions in perception for automated driving. These positions are fully funded and are open to international candidates.
About the Position
The PhD positions will focus on developing new methods for perception in automated driving. This includes tasks such as scene understanding, object detection, tracking, and classification. The successful candidates will work on a variety of projects, including developing new deep learning algorithms, building and testing perception systems, and evaluating the performance of these systems.
Benefits of This Position
The PhD positions offer a number of benefits, including:
- A competitive salary and benefits package
- Full funding for tuition and fees
- The opportunity to work with leading experts in the field of automated driving
- The chance to contribute to cutting-edge research that is making a real impact on the world
Available Level of Study
The PhD positions are available at the doctoral level. Applicants must have a Master's degree in computer science, robotics, machine learning, computer vision, or a related field.
The PhD positions are fully funded. This includes tuition and fees, as well as a stipend to cover living expenses.
To be eligible for the PhD positions, applicants must meet the following criteria:
- Have a Master's degree in computer science, robotics, machine learning, computer vision, or a related field
- Have strong mathematical and programming skills
- Be proficient in English
- Have a strong interest in automated driving
How to Apply
To apply for the PhD positions, please submit the following materials to [email protected]:
- A cover letter
- A CV
- A transcript of your Master's degree
- A statement of research interests
- Two letters of recommendation
The application deadline is March 31, 2023. Early applications are encouraged.
For more information about the PhD positions, please visit the Robot Learning Lab website: https://rl.cs.uni-freiburg.de