Research Associate (f/m/x) - Human-in-the-Loop for AI-based solutions

Dlr; Ulm; On-site; EUR 52,000 - 64,000; Full time

Job summary

DLR in Ulm invites applications for a Research Associate (f/m/x) in Human-in-the-Loop for AI-based solutions. The role spans part-time and full-time with a 2-year contract, extension possible. Remuneration follows TVöD-Bund.

Join the AI Security group to advance safe, secure AI in mobility and logistics, collaborate across disciplines, and supervise students as part of research work.

Qualifications

• Completed university degree in computer science, engineering or related fields.
• Python programming skills.
• Experience with simulation and laboratory tools (VR, HR).
• Expertise in AI for autonomous systems.
• Python programming with robotic systems knowledge.
• Experience in human–AI interaction, ideally in aviation, robotics or autonomous driving.
• Knowledge of experimental design, implementation and evaluation.
• Experience in project management.
• Fluency in spoken and written English.
• Willingness to supervise students during research assistantship or dissertation work.

Responsibilities

• Develop virtual reality and hybrid reality simulation environments (e.g. Unreal Engine).
• Implement AI systems for Safety & Security-by-Design processes.
• Create data and test environments for safe training and testing of AI systems.
• Develop safe and secure AI models in simulation environments.
• Create methodologies for evaluating human–AI interaction approaches.
• Demonstrate human involvement in the AI learning cycle.
• Contribute to demonstrators and related processes.

Skills

Python

VR/HR tooling

AI in autonomous systems

Experiment design

Project management

English proficiency

Education

CS/Engineering degree

Tools

Unreal Engine

Job description

Research Associate (f/m/x) - Human-in-the-Loop for AI-based solutions

Job Description Req ID: 6747 Place of work: Ulm Starting date: 01.01.2027 Career level: Graduates, Experienced professionals Type of employment: Part time, Full-time Duration of contract: 2 years, with the possibility of extension and, where applicable, conversion to a permanent post

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our12,000employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge?Then this is your place!

Vacancy-ID: 6747
Place of work: Ulm
Starting date: 01.01.2027
Career level: Graduates; Experienced professionals
Type of employment: Part time; Full-time
Duration of contract: 2 years, with the possibility of extension and, where applicable, conversion to a permanent post
Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

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.

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 virtual reality and hybrid reality simulation environments (e.g. with Unreal Engine)
• Implementation of AI systems for Safety & Security-by-Design engineering processes
• The targeted creation of data and test environments, generated by humans in conjunction with the AI system, which are suitable for the safe and secure training and testing of AI systems
• Development of safe and secure AI models in simulation environments
• Development of a scientifically sound methodology for the comparative evaluation of current human–AI interaction approaches
• Demonstrating the effectiveness of involving humans in the AI learning cycle
• Active involvement in the development of demonstrators and associated processes

Your profile

• A completed university degree in computer science, engineering (e.g. in the fields of electrical engineering or mechanical engineering) or other degree programmes relevant to the role
• Programming skills in Python
• Skills in programming simulation and laboratory tools (VR, HR)
• Expertise in the field of artificial intelligence in autonomous systems
• Programming skills in Python and knowledge of robotic systems
• Experience in various areas of human–AI interaction, ideally in the fields of aviation, robotics or autonomous driving
• Knowledge of experimental design, implementation and evaluation
• Experience in project management
• Fluency in spoken and written English
• Motivation to supervise students as part of research assistantship or dissertation work

We offer
DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We offer
DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 6747) please contact:

Dr. Sven Hallerbach
Tel.:[phone]

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