Student Assistant Robotics & Explainable AI

Fraunhofer-Gesellschaft; Berlin; Vor Ort; Teilzeit

Zusammenfassung

A leading research institute in Berlin seeks a dedicated student to contribute to innovative AI and robotics research. The candidate will drive the implementation of deep learning models and evaluate AI algorithms. Applicants should be enrolled in a relevant Bachelor's or Master's program with strong knowledge of Python and machine learning. A modern workplace with flexible hours and opportunities for thesis writing is offered. Applications should include a transcript and cover letter. This role is available full-time or part-time.

Leistungen

Attractive salary

Flexible working hours

Modern workplace

Opportunities for thesis writing

Qualifikationen

• Enrolled in full-time studies with good to very good grades.
• Good knowledge of Python.
• Experience with machine learning and neural networks.

Aufgaben

• Drive innovative AI and robotics research.
• Implement deep learning and generative models.
• Evaluate AI algorithms for efficiency and performance.

Kenntnisse

Python

Machine learning

Neural networks

Motivation

Interest in robotics and XAI

Ausbildung

Bachelor's/Master's in Computer Science/Math/Physics/Electrical Engineering

Tools

Pytorch

TensorFlow

Jobbeschreibung

Future. Discover. Together.

Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation!

Be part of change

• Driving innovative AI and robotics research
• Development and implementation, practical application, theoretical analysis and evaluation of AI algorithms
• Implementation of deep learning and generative models
• Improvement of models, e.g. in terms of efficiency, training performance or inference behavior

What you contribute

• Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades
• Programming experience, especially good to very good knowledge of Python
• Experience with machine learning, in particular with neural networks and their implementation (Pytorch, Tensorflow or similar)
• Motivation and initiative
• Residence in Berlin and surrounding area, as the position can only be performed on site in Berlin for optimal collaboration with colleagues
• Interest in robotics and explainable artificial intelligence (XAI), for example:
  • Robot learning, including reinforcement learning, behavior cloning, Sim2Real
  • Mathematical optimization, differential equations, generative/flow models, and constraint solvers
  • Fundamental research and method development in areas of local feature attribution, global and mechanistic interpretability
  • XAI-based model improvements, evaluation of AI models, and physics-informed neural networks (PINNs)
  • Applications in a wide range of machine learning models, architectures, inference targets and data modalities

Please be sure to include a transcript of grades and a cover letter with your application. Applications without a transcript of grades and cover letter cannot be considered.

What we offer

• Attractive salary
• Modern and excellently equipped workplace in a central location
• Open and cooperative working atmosphere in an international team
• Flexible working hours
• Opportunities to write a master's or bachelor's thesis may be available, often in close cooperation with industry partners

The position is initially limited to 1 year. An extension is explicitly desired.

The monthly working time is 80 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. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

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.

Ready for a change? Then apply now and make a difference!

Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

If you require information about this position, please contact:

E-Mail: [e-mail]

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

www.hhi.fraunhofer.de

Requisition Number: 82715 Application Deadline: 02/15/2026