Scientist Postdoc Xai for Reinforcement Learning" translates to "Postdoctoral Scientist Position for Reinforcement Learning with Xai" in English - Coronita, CA, United States - Oceanic Ventures

Description

At the Fraunhofer Institute for Telecommunications, HHI, we are dedicated to researching and developing innovations for the digital society of tomorrow.

Our institute is a global leader in the fields of mobile and optical communication networks and systems, as well as video signal coding and data processing.

Our "Explainable Artificial Intelligence" (XAI) group focuses on developing powerful methods and analyzing interpretability and explainability in machine learning. We are particularly interested in the intersection of explainability, fairness, and robustness in machine learning models.

Join our highly motivated and international research team and embark on an innovation journey with us


Your responsibilities

• Supervising junior researchers and students
• Acquiring research projects

Your qualifications

• A PhD or equivalent degree in Computer Science, Mathematics, or a related field
• A strong theoretical foundation in functional analysis, stochastic processes, signal processing, and machine learning
• Experience in training and evaluating machine learning models and analyzing their properties
• Practical and theoretical experience with AI for games (deep reinforcement learning, tree search methods, explainable AI)
• Experience in strategic game play, such as chess
• A strong research potential and existing publications in relevant domains
• Proficiency in the latest frameworks, backends, and programming languages for deep learning, particularly Python 3 and PyTorch, Keras/Tensorflow, or Matlab
• Familiarity with collaborative tools like Git
• The ability to work independently and in a team in