We are currently offering a fully funded Ph.D. position, specifically tailored for individuals passionate about the field of machine learning and generative AI. This position offers an excellent platform for a dedicated researcher to explore the realm of uncertainties in machine learning and utilize generative AI, particularly to develop test cases for automotive applications.
Position Overview
* Affiliation : The position is affiliated with the group of Jun.-Prof. Dr.-Ing. Florian Pfaff at the Institute of Industrial Automation and Software Engineering (IAS), University of Stuttgart.
* Role : Research Associate leading to a Ph.D. degree.
* Project Focus : Employing generative AI to generate test cases for automotive applications. Development and analysis of uncertainties of AI methods.
* Qualifications : Master's degree in Electronic Engineering, Information Technology, Autonomous Systems, Mechatronics, Computer Science, Cybernetics, Mathematics, Physics, or related engineering disciplines.
* Strong foundation in probability theory and statistics.
* Proficiency in Python; experience with PyTorch or JAX is highly desirable.
* Excellent communication skills and the ability to present findings effectively.
Position Details
* Nature : Full-time, on-site (hybrid possible to a certain degree).
* Salary Grade : E13, full (100%) position (currently, €61912.29 annually, €57708.32 in the first year)
* Ph.D. Opportunity : The position includes the opportunity to pursue a Ph.D. degree.
* Location : Stuttgart, Germany.
This position represents a unique opportunity for aspiring researchers to engage in a stimulating research environment, working at the nexus of machine learning and generative AI. Interested candidates are asked to apply directly here on LinkedIn. Questions can be directed to We are looking for a candidate who is not only technically proficient but also possesses the drive to explore innovative research avenues and present their findings at conferences and meetings. Please include at least a CV and transcript in your application documents.