Student (f/m/x) for the development of a reinforcement learning environment

German Aerospace Center (DLR); Ulm; On-site; EUR 11,000 - 16,000; Part time

Job summary

The DLR Institute for AI Security is offering a student opportunity in which you will contribute to building an RL environment using Unreal Engine and Gymnasium. You will optimize performance to enable RL within a reasonable timeframe and progressively add features to increase realism in a fast-paced, research-oriented setting.

Ideal candidates are enrolled in a CS degree or related field, with strong C++ knowledge, an interest in ML and robotics, and good English (German is a plus).

Qualifications

• Enrollment in a degree programme in computer science or a related technical discipline.
• Good knowledge of C++ programming.
• Interest in machine learning and robotic systems.
• Willingness to familiarize yourself with new technologies and tools.
• Written and spoken English; knowledge of German.

Responsibilities

• Development of a reinforcement learning (RL) environment based on the Unreal Engine and the Gymnasium API.
• Optimization of the RL environment to enable RL within a reasonable timeframe.
• Expansion of the RL environment by gradually adding elements to increase realism.

Skills

C++ programming

English proficiency

German knowledge

Interest in ML & robotics

Unreal Engine

Gymnasium API

Education

Student in CS or related field

Tools

Unreal Engine

Gymnasium API

Job description

At the DLR Institute for AI Security, we research and develop AI-related methods, processes, algorithms, technologies and execution and system environments. Our focus is on secure and standard-compliant AI, cybersecurity in open data and service ecosystems and AI, as well as automation in mobility and logistics.

What You Expect

The AI Engineering department defines and establishes and goal-orientated development processes, methods, and tools for safe and secure AI-based applications. The focus lies on the development and application of safety and security-by-design methods for AI-based components, as well as on the investigation of safe human-AI interaction.

Your tasks

• Development of a reinforcement learning (RL) environment: Based on the Unreal Engine and the Gymnasium API
• Optimisation of the RL environment: Improving performance to enable RL to be carried out within a reasonable timeframe
• Expansion of the RL environment: Gradually adding further elements to increase the realism of the environment

Your profile

• A student enrolled on a degree programme in computer science or a related technical discipline
• Good knowledge of C++ programming
• An interest in machine learning and robotic systems
• High motivation and a willingness to familiarise yourself with new technologies and tools
• Written and spoken English; knowledge of German

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5951) please contact:

Dr. Sven Hallerbach

Tel.: [phone]