Fraunhofer-Gesellschaft

Student Assistant, Robotics, Explainable AI

Fraunhofer-Gesellschaft

part-time

Posted on:

Location Type: Office

Location: Berlin • Germany

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Job Level

Entry Level

Tech Stack

PythonPyTorchTensorflow

About the role

  • Contribute to research in robotics and explainable AI through the development and implementation, practical application, theoretical analysis, and evaluation of AI algorithms
  • Implement deep learning and generative models
  • Improve models, for example with respect to efficiency, training performance, or inference behavior

Requirements

  • Enrolled full-time Bachelor's or Master's student in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field with good to very good grades
  • Programming experience, particularly strong proficiency in Python
  • Experience with machine learning, especially neural networks and their implementation (PyTorch, TensorFlow, or similar)
  • Motivation and initiative
  • Residence in Berlin or surrounding area, as the position must be carried out on-site in Berlin for optimal collaboration with colleagues
  • Interest in robotics and explainable artificial intelligence (XAI), e.g., Robot Learning including Reinforcement Learning, Behavior Cloning, Sim2Real
  • Mathematical optimization, differential equations, generative/flow models, and constraint solvers
  • Fundamental research and method development in local feature attribution, global and mechanistic interpretability
  • XAI-based model improvements, evaluation of AI models, and physics-informed neural networks (PINNs)
  • Applications across a wide range of machine learning models, architectures, inference objectives, and data modalities
Benefits
  • Attractive salary
  • Modern, well-equipped workplace in a central location
  • Open and cooperative working atmosphere in an international team
  • Flexible working arrangements
  • Opportunities to write a Master's or Bachelor's thesis, often in close collaboration with industry partners
  • The position is initially limited to 1 year. An extension is expressly desired.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonmachine learningneural networksdeep learninggenerative modelsPyTorchTensorFlowmathematical optimizationdifferential equationsphysics-informed neural networks
Soft Skills
motivationinitiative