The primary objective is to devise a method that dynamically monitors system operation, detects failures, and triggers corrective actions, maintaining safety while satisfying statistical guarantees.
Responsibilities:
- Assess the current state-of-the-art in runtime monitoring of safety-critical robotics applications including but not limited to automated driving
- Advance your knowledge in related fields like representation learning, generative models, multi-modal LLMs, statistical machine learning, machine learning with guarantees, conformal prediction, and out-of-distribution detection
- Develop probabilistic models and algorithms to monitor the system’s operation points
- Collect and analyze data from diverse test drives, including both real-world and simulated recordings
- Validate the efficacy of the developed models through available data, simulation and additional test drives
- Integrate the monitoring system into test vehicles
- Organize the recruiting and supervision of students to contribute to your research
- Document research findings and publish in scientific articles
The requirement for hiring is the supervision of the PhD project by a university lecturer. The PhD student is responsible for choosing his/her/their own supervisor.
Table of Content
Summary
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Benefits
- Meal allowances
- Employee cell phone possible
- Employee discounts possible
- Employee participation possible
- Employee events
- Coaching
- Flexible working hours possible
- Hybrid working possible
- Health measures
- Company pension scheme
- Mobility offers
Requirements
- Excellent master’s degree in mathematics, statistics, computer science, machine learning, robotics, or related areas
- Excellent programming skills in Python or C++
- Strong knowledge and in-depth understanding of machine learning techniques including deep learning and the corresponding software frameworks (e.g., pytorch, tensorflow)
- Experience with public cloud infrastructure (GCP, AWS or Azure)
- Experience with Linux and development on Linux Systems
- Fluent English skills
- Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Mercedes-Benz Group AG on tas-daimler.taleo.net to apply
Contact:
For more information, kidnly visit Mercedes-Benz internship webpage.
