PhD Student/ Research Assistant (f/m/d) for Safe Mobility
We are researching the development of modern approaches for highly automated driving. For this purpose, we are integrating machine learning methods such as neural networks into autonomous systems. Such methods must be highly robust against natural influences and targeted attacks. In the project "Safe Mobility" in cooperation with KASTEL, learning methods are to be evaluated on the basis of their safety-critical properties. In your work, you will simulate targeted attacks against learned methods like adversarial attacks and carry them out on our autonomous vehicles. Subsequently, you will increase the robustness of the learning procedures against successful attacks and natural influences.
- a very good Master's degree in computer science, electrical engineering, mechanical engineering, mathematics, information systems, business engineering or a related technical or scientific course of study. Candidates, that want to achieve a PhD are preferred.
- very good programming skills in Python and/or C++
- excellent theoretical knowledge and practical experience in the field of neural networks and machine learning.
- very good language skills in German and/or English
We offer access to autonomous research vehicles and the test field "Autonomous Driving Baden-Württemberg" which enable our research in real road conditions. We also offer an attractive and modern workplace with access to the excellent equipment of the KIT, a varied job, a wide range of training opportunities and flexible working time.
100% Salary category TV-L E13, depending on the fulfillment of professional and personal requirements.
For further information, please contact:
- Mr. Nikolai Polley, Email: Nikolai Polley∂kit edu
- Prof. J. Marius Zöllner, Email: Marius Zoellner∂kit edu
Please send your informative application in the form of a single PDF file by e-mail to: Marius Zoellner∂kit edu
We aim to fill the jobs as evenly as possible with employees (f/m/d) and would therefore be particularly pleased to receive applications from women.
In the case of equal suitability, people with recognised severe disabilities will be given preferential consideration.
PhD-Students / Research Associates
Applied Technical Cognitive Systems
No information available