Student Assistant for Explainable AI

Fraunhofer Gesellschaft; Berlin; Vor Ort; EUR 16.000 - 25.000; Vollzeit

Benefits dieser Stelle

International team

Opportunities for Master’s or Bachelor

Modern workplace in central location

Zusammenfassung

Fraunhofer-Gesellschaft, a world-leading research organization, invites applications for a student position in AI explainability and machine learning at the HHI – Fraunhofer Institute for Telecommunication.

You will contribute to driving innovative AI research, implement deep learning and multi-agent systems, and explore XAI tools to ensure trustworthy models. On-site in Berlin with an international team, part-time options and opportunities to bridge academia and industry.

Qualifikationen

• Enrolled student in full-time studies in CS/Math/Physics/EE or related fields with good to very good grades.
• Programming experience with Python and machine learning libraries.
• Familiarity with AI and ML state-of-the-art developments.

Aufgaben

• Drive innovative AI research through development and evaluation of AI algorithms and explainability methods.
• Implement deep learning and multi-agent systems; improve model efficiency and inference behavior.
• Work on XAI tools to ensure explainability and trustworthiness of ML models.

Kenntnisse

Python programming

Machine learning experience

Neural networks

Explainable AI familiarity

Independent working style

On-site in Berlin

Ausbildung

Enrolled Bachelor's/Master's student in computer science, mathematics, physics, electrical engineering or related fields

Tools

PyTorch

TensorFlow

Jobbeschreibung

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The Fraunhofer-Gesellschaft (www.fraunhofer.com ) is one of the world's leading organizations for application-oriented research. 74institutes develop pioneering technologies for our economy and society – more precisely: 30000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

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 research through the development and implementation, practical application, theoretical analysis and evaluation of AI and explainability algorithms
• Implementation of deep learning and multi-agent systems
• Improvement of models, e.g. in terms of efficiency, training performance or inference behavior
• Use of XAI tools to ensure exaplainability and trustworthiness of machine learning models

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)
• Familiarity with the current state of the art in AI and machine learning
• Motivation, initiative, and an independant working style
• Residence in Berlin and the surrounding area, as the position is carried out exclusively on-site to enable close collaboration
  
  • Interest in Explainable Artificial Intelligence (XAI); potential topics include, among others (feel free to reference in your cover letter):
  • XAI for Computer Vision (in particular object detection and semantic segmentation models)
  • XAI for Large Language Models (LLMs)
  • XAI for Multi-Agent Systems (MAS)
  • Physics-Informed Neural Networks (PINNs) and Operator Learning
  • Applications of trustworthy AI (e.g. robust modelling of semiconductors and RF power devices)
  • Data Attribution Methods
  • Method development in the areas of: local feature attribution, global and mechanistic interpretability
  • Interpretability-based model improvement (e.g., bias detection and mitigation)

Please make sure to include a detailed transcript of records as well as a cover letter with your application. Unfortunately, applications without a transcript of records and cover letter cannot be considered.

What we offer

• Fascinating challenges in a scientific and entrepreneurial setting
• Modern and excellently equipped workplace in a central location
• Open and cooperative working atmosphere in an international team
• Opportunities to write a Master's or Bachelor's thesis, 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.

If you require information about this position, please contact:

E-Mail: [e-mail]

Requisition Number: 85320 Application Deadline: 09/15/2026