Fully funded Research Internships and PhD Position
Update: December 2025​
Research Internship Topics
Topic 1
Foundation Models for multi-modal Perception and Control in Robotics
Topic 2
Neuromorphic Oscillatory Neural Networks (ONNs) for Efficient multi-modal Robotic Perception and Learning
Topic 3
Radar-based vital signal detection, body pose estimation and tracking
PhD Position Topic
Embodied AI for Robust multi-modal Perception and Learning
Eligibility
Enrolled or received MSc degree in Electrical Engineering, Computer Science, Mathematics, Systems and Control, or a related field from top international universities.
Strong theoretical background, and practical experience in AI, Robotics and Machine Learning​
Good programming skills in ROS2, C++ and Python. Knowledge of Nvidia IsaacLab is a plus.
Publications in leading conferences and journals will be favorably considered.
Proficiency in English is mandatory.
What awaits you?
Integration and deployment of multi‑modal sensory information and perception (digital signal processing, pattern recognition, embedded systems architectures, communications), integrated with foundation models and probabilistic AI approaches, for robot-environment and human‑vehicle interaction.
Contributing to the development of next generation of the intelligent interactive vehicle.
Collaborating with an highly specialised international team of AI/ML and robotics scientists and engineers.
The Research will be carried out at BMW Ai-Robotics Lab & RoboTac team, BMW Center of Invention, Munich, Germany.
Stay in a BMW apartment (subject to availability & only Munich).
Attractive & fair remuneration.
How to apply
Required Documents
CV with photo
University transcripts (BSc and MSc degrees)
List of publications if any
How to send your application
All documents should be in English and in one single pdf saved with your first name and family name.
Top application will be invited for an oral presentation and interview.