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PhD Researcher in Interpretable Machine Learning

vor 2 Monaten


Munich, Bayern, Deutschland Statistical Learning and Data Science - Ludwig Maximilian University of Munich - Munich Center for Machine Learning Vollzeit

Unlocking the Black Box: PhD Position in Interpretable Machine Learning and Explainable AI

The Statistical Learning and Data Science group at Ludwig Maximilian University of Munich (LMU), led by Prof. Dr. Bernd Bischl, is seeking a highly motivated PhD candidate to join our cutting-edge research on interpretable machine learning (ML) and explainable AI (XAI). This position offers an exciting opportunity to contribute to the advancement of ML techniques that provide transparent and understandable insights into model decision-making processes.

Your Research Focus:

As a PhD researcher, you will delve into the world of interpretable machine learning, focusing on methods for analyzing and explaining predictive models trained on tabular data. Your research will encompass:

  • Exploring regional explanations that bridge the gap between local and global interpretability.
  • Developing innovative techniques to enhance the overall explainability of ML models.
  • Conducting rigorous empirical evaluations of different interpretation methods.

Your Contributions:

You will actively participate in a collaborative research environment, contributing to scientific publications in top-tier journals and presenting your findings at international conferences. Your expertise will also be valuable in assisting with teaching tasks related to machine learning courses at LMU.

Ideal Candidate Profile:

  • Master's degree in statistics, mathematics, data science, computer science, or a closely related field.
  • Strong theoretical foundation in both machine learning and statistical modeling.
  • Proficiency in programming languages such as R and/or Python.
  • Excellent communication and interpersonal skills.