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PhD position (m/f/d; E13 TV-L, 65%) in Machine Learning for Education
Cluster of Excellence "Machine Learning"
Application deadline : 30.04.2021
Please send your application until 30.04.2021. The position is limited to three years.
About the project
The aim of this project is to develop machine learning methods that empower human learners. Specifically, your work will involve conceptualizing, implementing, and testing an adaptive learning system, which leverages the latent relational structure of knowledge to provide self-directed learners with an effective curriculum. You will have the opportunity to develop skills in probabilistic modelling, software engineering and cognitive psychology.
The project is jointly led by Álvaro Tejero-Cantero (ML ⇌ Science Colaboratory) and Charley Wu (Human and Machine Cognition Lab), with co-supervision by Detmar Meurers (Theoretical Computational Linguistics Lab), Kou Murayama (Motivation Science Lab) and Ulf Brefeld (Information systems and Machine Learning). The project is part of a larger initiative at the Cluster of Excellence "Machine Learning in Science" to investigate how machine learning can help modern education. There will be many opportunities to interact with world-class ML experts and other students working on learning analytics, personalization, and machine learning ethics.