Scientist for Robotic Learning (Berlin, DE, 10587) at Fraunhofer-Gesellschaft

Future. Discover. Together.

The AI department at HHI is committed to advancing the field of artificial intelligence through innovative research and development. Our team focuses on creating cutting-edge solutions that enhance the explainability of AI models, develop models for relevant applications, and improve learning efficiency. Become a part of our team and join us on our journey of research and innovation!

What you will do

• Contribute to cutting-edge research in robot learning
• Implementation of deep learning and generative models
• Study novel approaches to train generative models for robotic manipulation, bootstrap data generation in verifiable domains, improve models in terms of generalization and robustness

The scientific work offers the possibility of a doctorate.

What you bring to the table

• An excellent degree (Master of Science or equivalent) in machine learning, mathematics, robot learning, or a related field (please attach the relevant certificates to your application)
• A solid theoretical foundation and practical experience in machine learning and reinforcement learning
• Experience in training and evaluation of machine learning models on large high performance computing infrastructure
• Existing publications, conference presentations, or other scientific activities are strongly preferred (please feel encouraged to attach publications, etc. to your application)
• A strong understanding in mathematical optimization, differential equations, generative/flow models and constraint solvers
• A strong understanding in foundations of robot learning, including reinforcement learning, behavior cloning, sim2real
• A firm grasp of the latest frameworks, back-ends and programming languages relevant for Deep Learning, especially PyTorch
• Experience with reinforcement learning (stable baselines & gym environments) and behavior cloning are preferred
• Excellent programming skills and experience with Open Source software development
• Familiarity with collaborative tools such as Git
• The ability to work independently, as well as in a team, in a structured manner
• Excellent knowledge of the English language in spoken and written form
• High levels of skill and motivation for shaping a more transparent future of AI
• On-site availability to promote creative collaboration among peers

What you can expect

• Active collaboration with Marc Toussaint from TU Berlin
• The opportunity to contribute to cutting-edge robotics research in high-profile research projects
• A highly motivated, international team and an excellent hardware and compute infrastructure
• Collaborations with international robot learning and machine learning experts, and the participation in activities of these groups in international conferences, such as CoRL, ICLR, RCL, NeurIPS, etc.
• Fascinating challenges in a scientific and entrepreneurial setting
• Attractive salary package according to TvöD with 30 vacation days, pension scheme (VBL), wealth creation benefits (VWL)
• Modern and excellently equipped workspace in a central location
• Great and cooperative working atmosphere in an international team
• Flexible working hours
• Support if you wish to do a doctorate
• Opportunities to work from home
• Extensive training-, health- and sports offers
• Various employee discounts and discounted BVG ticket
• Offers for families (parent-child office, emergency care, leisure activities, etc.)

The position is initially limited to 2 years. An extension is explicitly desired.

The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!
 

[email protected]

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de 

Requisition Number: 81165                Application Deadline: 09/30/2025