How do I apply for the Master / Student - Foundation Models (Embodied AI) for vehicle docking (f/m/x) position at German Aerospace Center (DLR) and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at German Aerospace Center (DLR) paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Master / Student - Foundation Models (Embodied AI) for vehicle docking (f/m/x) role?

This position is a part-time, structured as a not disclosed role, with an expected duration of 5 months.

What educational background or degree level is required for the Master / Student - Foundation Models (Embodied AI) for vehicle docking (f/m/x) at German Aerospace Center (DLR)?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does German Aerospace Center (DLR) provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Master / Student - Foundation Models (Embodied AI) for vehicle docking (f/m/x)

German Aerospace Center (DLR)

Found 1 month ago

Location

Oberpfaffenhofen, Germany

Duration (Months)

5 Months

Time

Part-time

Work Mode

Not disclosed

Salary

up to the German TVöD 05 depending on qualifications and assigned tasks

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

Foundation Models
Embodied AI
autonomous driving
LLMs/generative AI
multi-agent systems
Python
Git
ROS2
simulation
CARLA
Gazebo
SUMO
path planning
control
ML/deep learning
Docker
Linux
RAG
vector stores

Soft Skills

Strong interest
Ability to conduct structured literature research
write scientific texts

Job Description

We invite you to join our team for a master’s thesis at the intersection of autonomous driving and foundation models. Your work will begin with a state-of-the-art review of foundation models in robotics, followed by the design of a vision-to-controller pipeline for docking and parking maneuvers. Based on the literature, you will implement a simulation-based prototype in CARLA. Following, you will carry your work over into a proof-of-concept integration on the real vehicle.

Requirements

Ongoing academic studies in Computer Science, Robotics, Mechanical Engineering, Automotive Engineering, Electrical Engineering, Mechatronics, Industrial Engineering, Data Science, Mathematics, or Physics or similar
Strong interest in autonomous driving, LLMs/generative AI, and multi-agent systems
Basic knowledge of Python and Git; familiarity with ROS2 or willingness to learn
Experience with simulation (e.g., CARLA/Gazebo/SUMO) or path planning/control is an advantage
Foundational understanding of ML/deep learning (datasets, training, inference)
Ability to conduct structured literature research and write scientific texts

AI & Machine Learning

AI Research

Languages

English

Nice to Haves

Docker/Linux
RAG/vector stores

Apply Now

12Open Positions

Open Positions

12Open Positions

Master / Student - Foundation Models (Embodied AI) for vehicle docking (f/m/x)

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves